440 Remote SQL Jobs in India

Roles & Responsibilities

1. Design, develop, and maintain automated test scripts using UiPath Studio (Testing Profile) for Workday and Coupa applications
2. Build and execute regression test suites covering Workday HCM core, Talent & Performance Management, Advanced Compensation, Payroll/Benefits, and Recruiting modules
3. Build and execute regression and functional test suites for Coupa modules including Procurement (P2P), Sourcing, Invoicing, and Supplier Management
4. Validate business-critical configurations and custom workflows before and after Workday's bi-annual releases (Release Assessment / Feature Impact Testing)
5. Use UiPath Test Manager for test case management, requirement traceability, and execution reporting
6. Configure and schedule test executions via UiPath Orchestrator, including unattended and scheduled test sets
7. Perform functional, integration, and regression testing across UI and API layers for both applications
8. Log, track, and manage defects to closure; collaborate with functional/HRIS, procurement, and development teams to reproduce and resolve issues
9. Integrate automated test suites into CI/CD pipelines where applicable
10. Maintain test data, environment readiness, and reusable object/component libraries

Ideal Candidate

1. Strong Test Automation Engineer Profile with UiPath Test Suite expertise for Workday & Coupa.
2. Mandatory (Experience 1): Must have 3+ years of overall QA / test automation experience, with at least 2+ years hands-on on UiPath Test Suite (Studio – Testing Profile, Test Manager, Orchestrator)
3. Mandatory (Experience 2): Must have hands-on experience designing, developing, and maintaining automated test scripts using UiPath Studio (Testing Profile) for enterprise SaaS/ERP applications.
4. Mandatory (Experience 3): Must have experience building and maintaining automated regression suites for enterprise SaaS/ERP applications, covering functional, integration, and regression testing across UI and API layers.
5. Mandatory (Experience 4): Must have experience using UiPath Test Manager (test case management, requirement traceability, execution reporting) and UiPath Orchestrator (configuring/scheduling test sets, unattended execution)
6. Mandatory (Experience 5): Must have experience logging, tracking, and managing defects to closure, and maintaining test data, environment readiness, and reusable object/component libraries.
7. Mandatory (Tech skill 1): Must have working knowledge of Workday functional areas — HCM core, Compensation (including Advanced Compensation), Talent & Performance — sufficient to design meaningful test scenarios
8. Mandatory (Tech skill 2): Must have working knowledge of Coupa modules — Requisitioning / Procurement (P2P), Purchase Orders, Invoicing, Sourcing, or Supplier Management.
9. Mandatory (Tech skill 3): Must have basic API testing skills (Postman / REST) and SQL for data validation.
10. Mandatory (Communication): Must have good communication skills to work with cross-functional HRIS, procurement, and IT teams
11. Mandatory (Note): Candidates able to join within 10–15 days will be eligible for a joining bonus of up to 20% of their monthly salary, subject to a maximum payout of ₹1,00,000. The bonus will be credited along with the first month's salary
12. Preferred: Experience validating configurations before/after Workday's bi-annual releases (Release Assessment / Feature Impact Testing); integrating automated test suites into CI/CD pipelines.

Additional Information

1. Remote role
2. Domain: Enterprise Applications QA – Workday & Coupa
3. Primary Tool: UiPath Test Suite (Studio – Testing Profile, Test Manager, Orchestrator, Test Robots)

Job Details:

We are seeking an experienced Full Stack .NET Developer with Azure to join our dynamic team. The ideal candidate will have a robust background in full stack development with expertise in Azure, React, Node.js, C#, .NET, Python (FastAPI/Flask), Terraform, and CI/CD pipelines. You will play a key role in developing, optimizing, and deploying scalable applications on Azure, ensuring high performance, security, and reliability.

This role will involve collaboration across teams, working on both frontend and backend solutions, and utilizing cloud technologies to drive project success.

Key Responsibilities:

• Design, develop, and maintain full stack applications using Azure, React, Node.js, C#, .NET, and Python (FastAPI/Flask APIs).
• Develop and integrate RESTful APIs using .NET and Python frameworks (FastAPI/Flask).
• Build and manage CI/CD pipelines to streamline deployment and automate testing processes.
• Develop infrastructure as code (IaC) with Terraform to manage and provision resources in the Azure environment.
• Ensure application scalability, security, and performance across all layers of the stack.
• Work closely with cross-functional teams to translate business requirements into technical specifications.
• Troubleshoot, debug, and enhance existing applications to optimize performance.
• Implement best practices for cloud security, data protection, and compliance within Azure services.
• Conduct code reviews and provide technical mentorship to junior developers as needed.

Required Skills & Qualifications:

Experience: 7-10 years of full stack development experience, with a strong focus on Azure cloud.

Frontend:

• Proficient with React.js, building and optimizing web interfaces.

Backend:

• Solid knowledge of Node.js, C#, and .NET for building robust backend applications.
• Hands-on experience in Python development, specifically building APIs using FastAPI and/or Flask.
• Strong understanding of RESTful API design and microservices architecture.

Cloud Infrastructure:

• Experience with Azure services, deployment, and scaling applications on Azure.

Infrastructure as Code (IaC):

• Hands-on experience with Terraform for Azure resource management.

CI/CD:

• Proficient in setting up and maintaining CI/CD pipelines using Azure DevOps or similar tools.

Database:

• Familiarity with Azure SQL, Cosmos DB, or other databases for full stack applications.

Best Practices:

• Strong understanding of software development best practices, including security, testing, and DevOps.

Junior PHP/Laravel Developer – Education ERP

Experience: 1–3 Years

Employment Type: Full-Time

Location: Remote

We are looking for a Junior PHP/Laravel Developer with hands-on experience in Core PHP, Laravel, and MySQL. The candidate will work on Education ERP/EdTech applications, developing new features, fixing bugs, handling databases, and supporting existing applications.

Key Responsibilities

• Develop and maintain web applications using Core PHP and Laravel.
• Write and optimize MySQL/SQL queries and perform database operations.
• Develop and maintain ERP/EdTech modules and features.
• Create and integrate REST APIs and third-party services.
• Debug and resolve application issues and bugs.
• Understand existing codebases, database structures, and data flow.
• Follow coding standards, Git practices, and development best practices.
• Coordinate with senior developers to complete assigned tasks on time.

Required Skills

• Core PHP & Laravel
• MySQL / SQL
• Database relationships, joins, CRUD, and query optimization
• HTML, CSS, JavaScript & jQuery
• REST APIs and API integration
• Basic Git/version control
• Good debugging and problem-solving skills
• Ability to understand and work with an existing codebase

Preferred Experience

Experience with any of the following will be an advantage:

• Education ERP / EdTech
• LMS / School / College Management Systems
• Admission & Student Management
• Fee Management
• Examination Modules
• HRMS
• Finance Modules

Qualifications

B.Tech/B.E. (CS/IT), BCA, MCA, or equivalent qualification with relevant development experience.

What We Offer

• Remote Work
• Opportunity to work on Education ERP products
• Learning and professional growth opportunities
• Exposure to real-world enterprise applications
• Supportive development environment

Job Title: Senior AI/ML Engineer

Company: Timble Technologies Pvt. Ltd

Location: Gurugram (Hybrid)

Experience: 2 TO 5 Years

About Us

Timble Glance is a high-growth AI RegTech and B2B SaaS company catering to top-tier BFSI and enterprise clients. We build cutting-edge systems powering 30+ high-scale APIs for digital identity verification, fraud detection, document intelligence, and compliance automation.

Role Overview

We are looking for a hands-on Senior AI/ML Engineer to design, develop, and productionize high-throughput AI/ML and Generative AI systems. You will own the full lifecycle—from problem formulation and data pipelines to deep learning architectures, RAG systems, LLMOps, and model governance—delivering sub-second latency and high reliability across our enterprise products.

Key Responsibilities

·       Model Architecture & Deployment: Design, train, and deploy production-scale ML/Deep Learning and GenAI systems (computer vision, document intelligence, OCR, NLP, fraud risk classification, and LLM applications).

·       GenAI & LLM Solutions: Develop robust LLM workflows including prompt engineering, fine-tuning, RAG pipelines, semantic search, vector indexing (Pinecone/Milvus/Chroma), and safety guardrails.

·       Pipelines & Engineering: Build performant feature extraction and data pipelines; write modular, vectorized, production-grade Python (NumPy, Pandas) and advanced SQL.

·       MLOps & Monitoring: Establish end-to-end MLOps/LLMOps standards—model registries, CI/CD, experiment tracking, drift detection, A/B testing, latency optimization, and cost governance.

·       Responsible AI & Security: Ensure model decisions comply with enterprise data security, privacy standards, and auditability required by the BFSI sector.

·       Collaboration & Ownership: Translate complex business requirements into technical roadmaps, conduct rigorous code reviews, and mentor junior engineers.

Required Qualifications & Skills

·       Education: B.Tech / M.Tech in Computer Science, AI/ML, Mathematics, or a related field—Tier-1 institutes (IIT, IIIT, NIT) strongly preferred.

·       Experience: 2+ years of hands-on experience developing, deploying, and maintaining ML/Deep Learning or GenAI models in production environments.

·       GenAI & NLP Stack: Hands-on experience with LLMs, embeddings, RAG architectures, and frameworks such as LangChain, LlamaIndex, or Hugging Face.

·       Deep Learning Frameworks: Strong proficiency in PyTorch or TensorFlow, with deep knowledge of transformer architectures and modern NLP/CV models.

·       Software & Data Engineering: Expert-level Python skills (pytest, Git, OOP, asynchronous programming), solid SQL proficiency, and familiarity with data workflows.

·       Deployment & Cloud: Practical exposure to cloud platforms (AWS/GCP), containerization (Docker), API frameworks (FastAPI/Flask), and basic orchestration (Kubernetes).

Preferred Qualifications

·       Prior domain experience in Fintech, RegTech, Identity Verification (KYC/AML), Fraud Intelligence, or B2B SaaS.

·       Experience optimizing models for low latency and inference cost (e.g., ONNX, TensorRT, model quantization).

·       Familiarity with workflow orchestrators such as Airflow, Prefect, or Kubeflow.

This is a backend role. You won't build screens, and you don't need frontend experience. The mobile team will add a language picker and pass a locale to the backend. Everything behind that is yours: the data model, content pipelines, LLM generation, retrieval, audio, notifications, and making sure all of it holds up in production.

What you'll build

1. The language data model

• Design how language lives in the database: user language preference, per-story translations, fallback chains (e.g. pt-BR → pt → en), and versioning so a translation is marked stale when its English source changes.
• stories.translations (jsonb) already exists and nothing reads it yet. Decide whether it stays, or whether we move to a dedicated story_translations table, and write down why.
• Everything ships as new, reversible migrations. We never edit an existing migration.

2. The content translation pipeline

• Our library has already been translated into several languages using the Anthropic Batch API, with a two-pass generate-then-review process. Move this into the repo so it's idempotent, re-runnable and cheap, and so it handles only the stories that changed.
• Build a glossary and style layer: Hebrew terms, names of sages and sources, and terms that must never be translated. Add automated QA checks (completeness, glossary adherence, length drift, broken formatting) plus a sampling workflow for native-speaker review.

3. Generation in the user's language

• Reflections, bridge text, the three practices (Echo, Naming, Walking) and Path arcs are generated by Claude through shared prompt modules in our Supabase edge functions. Make them produce native, natural output in the target language. That means writing in the language directly, not translating English after the fact. Our existing rules must still hold, e.g. each practice carries a Hebrew term with its meaning explained, now explained in the user's language.
• Build a per-language evaluation harness so we can check quality before a language goes live and catch regressions when prompts change.

4. Multilingual matching

• Today, language-validation detects the language of the user's input and blocks anything that isn't English. Replace that gate with detection and routing.
• Story matching uses OpenAI text-embedding-3-large over pgvector. Measure how well non-English input retrieves the right English-indexed stories. Then decide between cross-lingual matching, per-language embeddings, or a hybrid, and back the decision with numbers.

5. Audio

• Stories and reflections are read aloud by ElevenLabs voices. Audio is currently stored per voice (audio_urls), so it has to become per voice and per language. Pick voices for each language, and plan batch pre-rendering, storage, cost and backfill.

6. Server-side copy

• Move push notification copy (including our Shabbat-aware scheduling), transactional and lifecycle emails, and database-driven home-screen messages out of the code and into a locale-aware string system with proper plurals and date formats.

7. Safe rollout

• Several app versions are live at the same time, and older builds can't be changed. Every change you make must stay backward compatible: English stays the default, current RPC signatures stay the same, and each language can be switched on independently behind a flag.
• Track cost and quality for each language: tokens, TTS credits, fallback rate and generation failures.

Our stack

• Backend: Supabase: Postgres (RLS, RPCs, pgvector, jsonb, pg_cron) and 50+ Deno/TypeScript edge functions
• AI: Anthropic Claude (Messages and Batch APIs, prompt caching), OpenAI embeddings, ElevenLabs TTS
• Data/scripts: Python and Node
• Other: RevenueCat, Resend, Expo Push/FCM. The app is Expo/React Native, but you won't need to work in it.

You'll be a fit if you have

• 5+ years of backend engineering, with strong PostgreSQL: schema design, migrations on live data, RLS, stored functions, and performance tuning.
• Production TypeScript (Deno or Node) and solid Python for data pipelines.
• Shipped LLM features to production, beyond prototypes: prompt design, structured output, batch processing, cost control, and above all evaluation. You know how to tell whether output in a language you don't speak is good.
• Built backend internationalization before: locale negotiation, fallback chains, ICU/CLDR plurals and dates, and translation workflows with versioning.
• Worked with embeddings and vector search, and can design a retrieval evaluation.
• Care about keeping production running: backward compatibility, feature flags, and rollouts that can be undone.
• Write clearly. Decisions here get written down before they get built.

Nice to have

• Experience with ElevenLabs or other TTS pipelines.
• Supabase-specific experience.

Founding Full-Stack Engineer / Technical Lead — X.re

We are building X.re — an AI-first CRM built specifically for real estate companies.

X.re is not another generic CRM. It is being designed around the real estate sales funnel, with AI-powered WhatsApp conversations, AI voice, lead scoring, workflow automation and advertising intelligence built into the system.

The product is already being built and is currently being tested with a real estate pilot client.

We are now looking for a senior engineer who can take ownership of the existing codebase and help take it from AI-assisted development into a robust, production-ready SaaS product.

What you'll be doing

• Take ownership of an existing Next.js + TypeScript codebase.
• Understand the existing architecture, database structure, APIs and application flows.
• Conduct a thorough engineering review and identify production, security, scalability and reliability risks.
• Refactor and improve the code where required rather than blindly rewriting the system.
• Build and maintain production-quality frontend and backend features.
• Design and maintain APIs, database models and integrations.
• Work on a multi-tenant SaaS architecture where each real estate brand has its own workspace and data isolation.
• Work closely with AI/LLM-powered features including chat, voice and lead intelligence.
• Work on WhatsApp Business API integrations, webhooks and messaging infrastructure.
• Build reliable automation and workflow functionality.
• Implement proper authentication, authorization, data isolation, logging, monitoring and error handling.
• Help establish engineering standards, testing and deployment practices.
• Eventually build and lead the engineering team as X.re scales.

What we're looking for

We are looking for someone who has strong engineering judgment, not someone who simply knows a list of technologies.

You should be able to:

• Enter an unfamiliar codebase and understand it quickly.
• Identify what is well designed and what is technically risky.
• Take an MVP and turn it into production-grade software.
• Make pragmatic architectural decisions.
• Think about security, scalability, reliability and maintainability.
• Work independently and take ownership.
• Read and review code generated or assisted by AI.
• Know when AI-generated code is acceptable and when it needs to be redesigned.
• Build rather than just manage developers.

Technical requirements

Strong experience with:

• TypeScript
• Next.js / React
• Node.js
• REST APIs
• PostgreSQL / SQL
• Modern SaaS application architecture
• Cloud deployment
• Git and production development workflows

Experience with the following is a strong advantage:

• AI/LLM applications
• WhatsApp Business API
• Webhooks
• Multi-tenant SaaS
• API integrations
• Docker
• AWS or similar cloud platforms
• CI/CD
• Observability and production monitoring

One important thing

This is not a greenfield project.

The existing product has been built significantly with AI-assisted development.

We are specifically looking for an engineer who is comfortable inheriting an existing codebase, understanding it deeply, challenging its assumptions, fixing what needs fixing, and taking responsibility for making it production-ready.

You will not be expected to rewrite everything just because it wasn't originally written by you.

Why this role is different

You won't just be implementing tickets.

You'll have significant influence over:

• Engineering architecture
• Production readiness
• Technical standards
• Infrastructure
• AI integration strategy
• Product engineering decisions
• Future engineering team structure

If things go well, this role can grow into Head of Engineering / CTO-level ownership as X.re scales.

Location

Hyderabad preferred. Remote candidates across India may be considered for the right candidate.

Compensation

₹20–35 LPA + ESOP

Compensation will depend on experience and level of ownership.

Role Overview

We are looking for a GCP Data Engineer with 10+ years of experience to design, develop, and optimize scalable cloud-based data solutions. The ideal candidate will have strong hands-on expertise in GCP, BigQuery, and advanced SQL, with experience building data pipelines and working with large-scale datasets.

Key Responsibilities

• Design and develop scalable data pipelines and ETL/ELT processes on GCP.
• Build, optimize, and maintain data solutions using Google BigQuery.
• Develop complex SQL queries for data transformation, aggregation, and analysis.
• Design efficient data models and optimize pipelines for performance, scalability, and cost.
• Integrate data from multiple sources and ensure data quality, reliability, and availability.
• Troubleshoot pipeline and data issues and drive continuous improvement.
• Collaborate with data architects, analysts, application teams, and business stakeholders.
• Follow best practices for cloud security, data governance, testing, and documentation.

Required Skills

• 8+ years of Data Engineering experience
• Strong hands-on experience with GCP, Django, and MongoDB
• Extensive experience with BigQuery
• Advanced SQL skills
• Strong understanding of ETL/ELT and data pipeline development
• Data modeling and data warehousing experience
• Experience handling large-scale datasets and performance optimization
• Strong problem-solving and communication skills

Good to Have

• GCP services such as Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, or Cloud Functions
• Python or other data engineering languages
• Experience with data governance and security
• Agile development experience

Laravel Developer – Education ERP

Experience: 1.5–2.5 Years

Employment Type: Full-Time

Location: Remote

About the Role

We are looking for a Laravel Developer with strong, hands-on experience in the Laravel framework. Experience with EdTech, Education ERP, LMS, or School/College Management Systems is a strong plus.

The ideal candidate should be comfortable working within an existing Laravel codebase — understanding models, migrations, and relationships — while building new modules, fixing bugs, and extending APIs for our Education ERP platform.

Key Responsibilities

•     Develop, maintain, and enhance web applications built on the Laravel framework.

•     Build and consume RESTful APIs using Laravel, including authentication via Sanctum or Passport.

•     Develop and maintain modules/features for Education ERP and EdTech applications.

•     Fix bugs, debug production issues, and troubleshoot data-related problems.

•     Integrate third-party APIs and services when required.

•     Coordinate with senior developers and other teams to understand requirements and deliver assigned tasks on time.

•     Maintain technical documentation for developed features where required.

Required Skills

•     Strong, hands-on experience with the Laravel Framework

•     Solid Core PHP (OOP concepts) as a foundation.

•     Good understanding of MySQL / SQL, including joins, aggregation, and query optimization.

•     Understanding of database design, relationships, and Eloquent model associations (one-to-many, many-to-many, polymorphic, etc.).

•     Experience building REST APIs in Laravel and integrating Laravel Sanctum/Passport for auth.

•     Working knowledge of HTML, CSS, JavaScript, and jQuery for front-end integration.

•     Familiarity with Composer and Laravel's package ecosystem.

•     Basic knowledge of Git/version control.

•     Good debugging and problem-solving skills, with the ability to read and extend an existing Laravel codebase.

Preferred Experience

Candidates with experience in any of the following domains will be preferred:

•     EdTech

•     Education ERP

•     School Management System

•     College/University Management System

•     LMS

•     Admission Management

•     Fee Management

•     Examination Management

•     Student Management

•     HRMS

•     Finance/Accounting modules

Education

•     B.Tech / B.E. – Computer Science / IT

•     BCA / MCA

•     Any equivalent qualification with relevant Laravel development experience.

What We Are Looking For

•     Genuine interest in and preference for working with Laravel over plain PHP frameworks.

•     Strong willingness to learn and grow within the Laravel ecosystem.

•     Good logical and analytical skills.

•     Ability to work independently on assigned tasks.

•     Good communication and teamwork.

•     Ability to work with databases and troubleshoot data-related issues.

•     Candidates who can understand business requirements as well as technical implementation will be preferred.

Quality Assurance Engineer

Location: Remote

Experience: 9–12 Years

Notice Period: Immediate Joiner only

JD:

API Testing: Postman/Swagger

Test Management & Defect Tracking: Jira, Test Director, TFS, Quality Center

Database Testing: SQL (Query Writing & Validation)

Domain Knowledge: US Healthcare Systems, HIPAA, HL7

Methodology: Agile (Scrum)

🚀Job Title : Senior Backend Engineer (Java / Golang) SDE 3

Experience : 5 to 12 Years

Positions : 4

Employment Type : C2H (Contract to Hire)

Contract Duration : 3 Months

Location : Remote during contract → Pune after conversion

Work Mode After Conversion : 5 Days WFO

Notice Period : Immediate / Serving Notice / Up to 15 Days preferred

Mandatory Skills : Golang (1+ year mandatory), 5+ years Backend Development, System Design, Distributed Systems, Microservices, REST / GraphQL APIs, Event-Driven Architecture, SQL & NoSQL Databases, AWS / GCP / Azure, Strong Problem-Solving & Communication Skills.

About the Role :

We are looking for an experienced Backend Engineer / SDE 3 with strong expertise in Java / Golang to design and build scalable, secure, and high-performance backend services and APIs.

The role involves hands-on coding, system design, microservices, distributed systems, and collaboration with engineering and infrastructure teams.

Must-Have Skills :

• 5+ years of backend development experience.
• Strong hands-on experience with Golang.
• Minimum 1+ year of Golang experience is mandatory.
• Strong understanding of System Design & Distributed Systems.
• Experience with REST / GraphQL APIs.
• Experience with Microservices and Event-Driven Architecture.
• Experience with Event Queues / Asynchronous Processing.
• Strong knowledge of Relational and NoSQL databases.
• Familiarity with AWS, GCP, or Azure.
• Strong communication and problem-solving skills.

Important Note for Java Candidates :

Java candidates can be considered only if they have at least 1+ year of hands-on Golang experience and are willing to work in Golang.

Candidates with less than 1 year of Golang experience will not be considered.

Good to Have :

• Experience in Fintech / Payments / Transaction-heavy systems
• Docker & Kubernetes
• Datadog / Prometheus / Grafana
• CI/CD experience
• Exposure to Java or Ruby

Key Responsibilities :

• Design, develop, and maintain scalable backend services using Golang.
• Build reliable, secure, and high-performance microservices and APIs.
• Implement event-driven and asynchronous processing systems.
• Work on system architecture, scalability, performance, and reliability.
• Participate in system design, code reviews, and technical discussions.
• Collaborate with mobile, web, and infrastructure teams.
• Develop unit, integration, and performance tests.
• Contribute to CI/CD, observability, documentation, and engineering best practices.

Interview Process :

Round 1 : Take-Home Coding Assessment – Submission within 48 hours

Round 2 : Code Pairing – Problem Extension

Round 3 : Culture Fitment

About the Role

Octalbees is looking for a MERN Stack Developer Intern to join our development team and work on practical, industry-oriented web development projects.

What You'll Work On

• Build and improve web applications using MongoDB, Express.js, React.js, and Node.js
• Develop responsive and user-friendly frontend interfaces
• Build and integrate REST APIs
• Work with databases, authentication, and backend services
• Debug, test, and optimize applications
• Collaborate with the team and follow professional development workflows
• Contribute to real-world projects and features

What We're Looking For

• Basic to good understanding of the MERN stack
• Knowledge of JavaScript, React.js, Node.js, Express.js and MongoDB
• Understanding of REST APIs and Git/GitHub
• Good problem-solving and communication skills
• Willingness to learn, take feedback, and work on practical projects

What You'll Get

• Hands-on experience with industry-oriented projects
• Mentorship and guidance
• Exposure to professional development workflows
• Internship certificate and project experience
• Performance-based stipend from the second month for eligible interns
• PPO opportunity for candidates who demonstrate strong performance and contribution

Internship Details

• Mode: Remote
• Type: Internship
• Commitment: Part-time / flexible
• Candidates who perform well may have opportunities for continued engagement with Octalbees.

Important: Stipend and PPO are performance-based and are not guaranteed for every intern.

To Apply: Submit your application through Wellfound with your updated resume/GitHub/portfolio.

Role: Full Stack JavaScript/TypeScript Developer

We're looking for a Full Stack Developer with strong JavaScript/TypeScript fundamentals to join our team and help build AI-powered product features.

Responsibilities:

Core Skills & Competencies (Must have):

• Strong proficiency in TypeScript and solid JavaScript fundamentals
• Front-end development skills with the React ecosystem (Next.js), including state management libraries like Zustand, Redux
• Expertise in HTML/CSS, with experience creating responsive and adaptive designs
• Experience building AI-assisted features such as chatbots, content generation, semantic search, recommendations, or intelligent automation
• Experience with RESTful services and APIs
• Familiarity with AI SDKs, LLM APIs, and vector databases
• Experience with SQL and database management, understanding relational databases, and ability to write efficient and optimized queries
• Understanding of database design and management, especially with SQL
• Experience with version control systems such as Git
• 
  

Desired Skills & Competencies (Nice to have):

• Experience with event-driven architecture
• Experience with cloud services like Azure or AWS
• Familiarity with modern DevOps practices
• Understanding of security practices and web application security
• Familiarity with CI/CD pipelines
• 
  

What we're looking for:

• Strong command over JS/TS fundamentals, not just framework-level knowledge
• Candidates with internship experience or a background from a reputed engineering college preferred
• Please share your GitHub link, portfolio, or details of projects you've built (personal, academic, or professional)

Role overview

The client is building a multimodal AI platform that processes multi-hour video, audio and text to generate structured insights, narratives and highlight workflows for broadcasters and media organisations.

We are seeking a Backend / Platform Engineer to design and build high-throughput media pipelines, robust APIs, and model-serving infrastructure that connect our AI engine (video perception + multimodal reasoning) to real products and customer environments.

This is not a CRUD‑only backend role.

You will work on:

• long‑running jobs
• distributed processing
• GPU inference orchestration
• storage for embeddings and metadata
• integration with AI models
• reliability and observability at scale

Key responsibilities

Media ingestion & processing pipelines

• Design and implement ingestion pipelines for multi‑hour video and audio content.
• Build microservices for frame extraction, audio processing, transcription integration and metadata generation.
• Handle long‑running, asynchronous jobs using queues, workers and robust retry strategies.
• Integrate with FFmpeg or similar tools for transcoding, segmenting and preparing media for AI models.

API & platform architecture

• Design and implement REST/gRPC APIs that expose AI model outputs (perception, multimodal alignment, narratives) to frontend and external systems.
• Define clear contracts for internal services and external integrations.
• Implement authentication, authorisation and rate‑limiting for platform endpoints.
• Ensure backward‑compatible API evolution as the product matures.

Model‑serving & AI integration

• Integrate with AI inference services (video models, multimodal models, LLM/VLM) running on GPUs or specialised infrastructure.
• Design request/response flows that handle large payloads, streaming outputs and structured results.
• Optimise throughput and latency for inference pipelines, including batching, caching and concurrency control.
• Collaborate closely with AI engineers to productionise models and debug end‑to‑end behaviour.

Storage, data models & performance

• Design data models to store embeddings, timelines, metadata, scene/shot boundaries, and narrative units.
• Work with appropriate storage technologies (SQL/NoSQL, object storage, search indices) based on access patterns.
• Implement indexing and query strategies for fast retrieval of segments, highlights and multimodal insights.
• Optimise performance for large datasets and high‑volume workloads.

Reliability, observability & operations

• Implement logging, metrics and tracing across services for debugging and monitoring.
• Set up health checks, circuit breakers and graceful degradation for critical services.
• Work with CI/CD pipelines to ensure safe, repeatable deployments.
• Collaborate on Kubernetes‑based deployments (or equivalent orchestration) for scaling services.

Requirements (must‑have)

Experience:

• 4–8 years in backend or platform engineering.
• At least 3 years working on distributed systems, high‑throughput services or complex pipelines (not just simple CRUD apps).

Languages & frameworks:

• Strong proficiency in Python or Node.js (one primary, both are a plus).
• Experience with at least one modern backend framework (FastAPI, Flask, Express, NestJS, etc.).

Distributed systems & pipelines:

• Hands‑on experience with queues and workers (e.g. Celery, RabbitMQ, Kafka, SQS, etc.).
• Experience building asynchronous, long‑running job pipelines.
• Understanding of idempotency, retries, backoff, and failure handling.

APIs & integration:

• Strong experience designing and implementing REST APIs (gRPC is a plus).
• Experience integrating with external services and handling network‑level failures.

Cloud & infrastructure:

• Experience deploying services on AWS, GCP or Azure (EC2/Compute Engine, S3/GCS, IAM, networking basics).
• Experience with Docker; exposure to Kubernetes is a strong plus.

Data & storage:

• Experience with SQL and at least one NoSQL store.
• Ability to design schemas and data models for performance and maintainability.

Engineering quality:

• Strong debugging skills across services and environments.
• Experience with unit/integration tests for backend systems.
• Clear, structured communication in English.

Nice‑to‑have

• Experience with media/video processing (FFmpeg, transcoding, segmenting).
• Experience with AI/ML model integration (serving models, handling inference requests).
• Experience with search/retrieval systems (e.g. Elasticsearch, vector databases).
• Experience with observability stacks (Prometheus, Grafana, OpenTelemetry).
• Experience working with remote teams across time zones.

What we are explicitly NOT looking for

To reduce noise and mismatches, we are not looking for:

• Pure CRUD‑only backend developers with no pipeline or distributed systems experience.
• Engineers who have only worked on small, single‑service apps without scale or complexity.
• Candidates who cannot explain trade‑offs in architecture, data modelling and reliability.
• Candidates who are uncomfortable with ownership of subsystems end‑to‑end.

Why join us

• Work on real, complex problems at the intersection of media, AI and distributed systems.
• Collaborate with senior AI engineers working on perception, multimodal fusion and narrative reasoning.
• Build the core platform that turns AI models into a usable product for broadcasters and media organisations.
• Operate with high ownership, clear expectations and direct access to the CTO.

Job Description – QA & Data Validation Engineer

Experience: 5–6 Years

Location: Pan India

Employment Type: Full-Time

Work Mode: Pan India / Remote or Hybrid as applicable

About the Role

We are looking for an experienced QA & Data Validation Engineer with 5–6 years of hands-on experience in data quality assurance, solution analysis, data validation, SQL, Python, PySpark, Azure Data Factory, Azure Synapse Analytics, and Power BI validation.

The ideal candidate will be responsible for validating large-scale data pipelines, performing source-to-target reconciliation, analyzing business rules, investigating data defects, and ensuring the accuracy, completeness, and consistency of data across source, staging, intermediate, and target systems.

The role requires strong analytical and problem-solving skills along with the ability to work closely with development, data engineering, business, and other stakeholders in an Agile delivery environment.

You will also contribute to the design, development, and maintenance of automated validation frameworks and utilities using Python, SQL, PySpark, Azure Data Factory, and Azure Synapse.

---

Key Responsibilities

1. QA & Solution Analysis

- Analyze business and technical requirements to understand data processing and validation needs.

- Participate in requirement analysis sessions and clarify functional and technical requirements with stakeholders.

- Review solution designs, data flows, mapping documents, interface specifications, and business rules.

- Validate that implemented solutions meet defined business and technical requirements.

- Identify gaps, inconsistencies, ambiguities, and potential data quality issues during requirement and solution analysis.

- Translate business requirements into detailed test scenarios, test cases, and validation conditions.

- Perform end-to-end validation of data processing workflows.

- Ensure data is accurately processed from source systems through intermediate layers to final outputs.

- Validate business rules and transformation logic implemented within data pipelines.

2. Test Planning & Execution

- Prepare comprehensive test strategies, test plans, test scenarios, and test cases for data-intensive applications.

- Execute functional, integration, regression, system, and data validation testing.

- Perform positive and negative testing for different data processing scenarios.

- Validate data pipelines across multiple environments, including staging, testing, and production.

- Identify test data requirements and prepare appropriate datasets for validation.

- Execute SQL queries to validate data processing and transformation results.

- Document test results, observations, defects, and validation evidence.

- Track testing progress and communicate status, risks, issues, and dependencies to stakeholders.

3. Data Validation & Reconciliation

- Perform detailed source-to-target data validation and reconciliation.

- Validate source, intermediate, staging, and output datasets.

- Perform record count validation between source and target systems.

- Verify data completeness, consistency, accuracy, and integrity.

- Validate data transformations against defined business rules.

- Perform field-level and record-level comparisons.

- Validate data types, formats, precision, scale, and null handling.

- Verify schema structure, layout, column names, and column sequence.

- Validate mandatory and optional fields.

- Identify missing, duplicate, truncated, or incorrectly transformed records.

- Analyze invalid records, rejected records, and exception datasets.

- Verify exception and reject-handling mechanisms.

- Compare production and staging data to identify discrepancies.

- Perform reconciliation between files, databases, and reporting layers.

- Validate data across different processing stages and identify the root cause of discrepancies.

4. File & Data Processing Validation

- Validate large-scale datasets across multiple file formats.

- Perform validation of:

 - CSV files

 - Delimited files

 - Fixed-width files

 - Excel files

 - Database tables

 - Structured and semi-structured datasets

- Validate file layouts, headers, delimiters, record formats, and column sequences.

- Verify file-level and record-level counts.

- Analyze source, intermediate, and final output files.

- Validate file-to-database and database-to-file reconciliation.

- Identify incomplete, corrupted, malformed, or invalid records.

- Verify data movement and transformation between different storage locations.

- Validate Azure-to-AWS file transfer processes.

- Ensure transferred files are complete and match the expected source datasets.

---

5. Defect Investigation & Root Cause Analysis

- Investigate data discrepancies and application/data pipeline defects.

- Perform detailed root cause analysis for data quality and validation failures.

- Analyze source data, transformation logic, pipeline execution, database records, and output datasets to identify defects.

- Collaborate with developers and data engineers to resolve identified issues.

- Reproduce defects and provide detailed technical evidence.

- Perform defect impact analysis.

- Conduct retesting and regression testing after defect resolution.

- Monitor recurring data quality issues and recommend preventive solutions.

- Maintain detailed defect documentation and validation results.

---

6. Python Development & Automation

- Develop Python scripts and utilities for data validation and reconciliation.

- Design, develop, and maintain reusable data validation frameworks.

- Automate repetitive data comparison and validation activities.

- Build automated utilities for:

 - Record count validation

 - Data completeness checks

 - Schema validation

 - Column sequence validation

 - Source-to-target comparison

 - Duplicate detection

 - Exception identification

 - Data quality checks

 - Automated reporting

- Develop Python-based validation and reporting utilities.

- Optimize Python scripts for processing large datasets.

- Maintain and enhance existing automation frameworks.

- Implement reusable validation components to improve testing efficiency and coverage.

---

7. SQL Development & Data Analysis

- Write complex SQL queries for data analysis and validation.

- Perform data extraction and comparison using SQL Server / SSMS.

- Validate source and target database records.

- Perform joins, aggregations, subqueries, CTEs, and analytical queries as required.

- Develop SQL queries to identify data mismatches, duplicates, missing records, and transformation issues.

- Validate database tables, schemas, columns, constraints, and relationships.

- Perform record count and reconciliation checks using SQL.

- Analyze SQL Server metrics databases.

- Validate data processing results against expected business rules.

- Troubleshoot data discrepancies using SQL queries.

---

8. PySpark & Large-Scale Data Processing

- Develop and execute PySpark notebooks for large-scale dataset processing and validation.

- Analyze large volumes of structured and semi-structured data.

- Perform data transformation and validation using PySpark.

- Compare large source and target datasets efficiently.

- Implement data quality and reconciliation checks using PySpark.

- Analyze exception, reject, and invalid datasets.

- Optimize data validation processes for large datasets.

- Work with Azure Synapse notebooks and data processing environments.

---

9. Azure Data Factory & Pipeline Testing

- Design and execute validation scenarios for Azure Data Factory (ADF) pipelines.

- Validate pipeline execution, data movement, transformations, and dependencies.

- Monitor pipeline runs and investigate failures.

- Validate source-to-target data movement through ADF.

- Develop and maintain test pipelines using Azure Data Factory.

- Verify pipeline parameters, triggers, activities, and execution results.

- Validate file ingestion and processing workflows.

- Perform end-to-end testing of data pipelines.

- Investigate pipeline-related data discrepancies and failures.

---

10. Azure Synapse Analytics

- Work with Azure Synapse Analytics for data validation and analysis.

- Develop and execute Synapse notebooks using PySpark.

- Validate datasets processed through Synapse pipelines and notebooks.

- Perform data quality and reconciliation checks within Synapse environments.

- Analyze large-scale datasets and processing results.

- Validate data movement between Azure storage, Synapse, databases, and reporting systems.

---

11. Azure Storage & Cosmos DB

- Validate data stored in Azure Storage Accounts and Containers.

- Verify file ingestion, processing, and output data.

- Perform file-level and content-level validation within Azure storage.

- Validate data processing workflows involving Azure Storage.

- Perform data validation in Azure Cosmos DB.

- Verify records, fields, formats, and data completeness within Cosmos DB.

- Investigate discrepancies between source files, Azure storage, databases, and Cosmos DB.

---

12. AWS S3 & Azure-to-AWS Validation

- Validate files stored in AWS S3.

- Perform source-to-target validation for files transferred between Azure and AWS.

- Verify file counts, file names, sizes, formats, and record counts.

- Compare source files with transferred S3 files.

- Validate data integrity after cloud-to-cloud file transfers.

- Investigate missing, incomplete, duplicate, or corrupted files.

- Support end-to-end validation of Azure-to-AWS data movement processes.

---

13. Metrics, Reporting & Power BI Validation

- Extract and validate source system metrics.

- Validate metrics stored in SQL Server databases.

- Perform reconciliation between source metrics, database metrics, and reporting outputs.

- Validate Power BI dashboards and reports against underlying source data.

- Verify report calculations, KPIs, measures, filters, and aggregations.

- Perform file-to-database-to-Power BI reconciliation.

- Validate data displayed in Power BI against SQL Server and source datasets.

- Identify discrepancies between backend data and dashboard results.

- Support reporting and analytics teams with data validation and troubleshooting.

---

14. Production Support & Job Monitoring

- Monitor scheduled data processing jobs and pipelines.

- Perform production validation and health checks.

- Analyze production failures and data discrepancies.

- Support incident investigation and resolution.

- Compare production and staging environments to identify differences.

- Validate production data after deployments and pipeline executions.

- Monitor ECG jobs and provide support for job execution and data processing issues.

- Perform post-production validation and reconciliation.

- Communicate critical production issues and risks to relevant stakeholders.

---

15. Agile Delivery & Stakeholder Collaboration

- Work effectively within an Agile/Scrum delivery environment.

- Participate in sprint planning, daily stand-ups, backlog refinement, sprint reviews, and retrospectives.

- Collaborate with Business Analysts, Developers, Data Engineers, DevOps teams, Product Owners, and other stakeholders.

- Provide timely updates on testing progress and issues.

- Participate in requirement clarification and solution discussions.

- Support release planning and production deployment activities.

- Track work items and defects using Rally.

- Ensure testing activities are aligned with sprint and release timelines.

---

Required Technical Skills

Mandatory Skills

- 5–6 years of experience in QA / Data Validation / Data Testing / Data Quality Engineering.

- Strong experience in SQL and data analysis.

- Hands-on experience with Python development and automation.

- Experience with PySpark and large-scale data processing.

- Strong experience with Azure Data Factory (ADF).

- Experience with Azure Synapse Analytics / Synapse Pipelines / Notebooks.

- Strong understanding of source-to-target data validation and reconciliation.

- Experience in data completeness, record count, schema, layout, and column validation.

- Experience in defect investigation and root cause analysis.

- Experience validating large datasets and multiple file formats.

- Experience with SQL Server / SSMS.

- Experience with Power BI dashboard/report validation.

- Strong understanding of data pipelines and ETL/ELT processes.

Cloud & Data Platform Experience

- Azure Data Factory

- Azure Synapse Analytics

- Azure Synapse Pipelines

- Azure Synapse Notebooks

- Azure Storage Accounts

- Azure Storage Containers

- Azure Cosmos DB

- Azure Privileged Identity Management (PIM)

- AWS S3

- Azure-to-AWS file transfer validation

---

Preferred Skills

- Experience developing automated data validation frameworks.

- Experience building automated reporting and reconciliation utilities.

- Knowledge of ETL/ELT testing methodologies.

- Experience working with very large datasets.

- Experience in production data validation and support.

- Knowledge of cloud-based data platforms.

- Experience with Power BI data reconciliation.

- Experience working in Agile environments.

- Experience with Rally or similar Agile project management tools.

- Familiarity with Microsoft Copilot and AI-assisted productivity/automation tools.

---

Key Responsibilities at a Glance

The successful candidate will be responsible for:

- Requirement analysis and clarification

- Business rule validation

- Test planning and execution

- Data quality and data validation

- Source-to-target reconciliation

- Record count and completeness validation

- Schema and layout validation

- Column sequence validation

- Exception and reject data analysis

- Production vs. staging comparison

- SQL-based data analysis

- Python automation

- PySpark development

- Azure Data Factory pipeline testing

- Azure Synapse validation

- Azure Storage validation

- Cosmos DB validation

- AWS S3 validation

- Azure-to-AWS file transfer validation

- Power BI dashboard validation

- SQL Server metrics validation

- Automated reporting

- Defect investigation and root cause analysis

- Production job monitoring and support

- Agile delivery and stakeholder collaboration

---

Candidate Profile

We are looking for a detail-oriented, analytical, and technically strong QA/Data Validation professional who can work independently on complex data validation assignments.

The candidate should be comfortable working with large datasets, writing SQL queries, developing Python automation, analyzing PySpark datasets, validating cloud-based data pipelines, and troubleshooting data discrepancies across multiple systems.

Strong communication and stakeholder management skills are essential, as the role requires regular collaboration with technical and business teams.

---

Education

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field is preferred.

Experience

5–6 years of relevant professional experience in QA, Data Testing, Data Validation, ETL Testing, Data Quality, Data Engineering QA, or a similar role.

Location

Pan India

Employment Type

Full-Time

Keywords

QA Engineer, Data QA, Data Validation, Data Testing, ETL Testing, Data Quality, SQL, Python, PySpark, Azure Data Factory, ADF, Azure Synapse, Synapse Analytics, Synapse Pipelines, Azure Storage, Cosmos DB, AWS S3, Power BI, SQL Server, SSMS, Data Reconciliation, Source-to-Target Validation, Data Pipeline Testing, ETL QA, Automation Testing, Data Analytics, Root Cause Analysis, Agile, Rally, Cloud Data Testing, Data Engineering QA.

Position: AS/400 Developer

Experience: 6+ Years

Work Mode: Remote

Job Summary

We are looking for an experienced AS/400 Developer with strong hands-on experience in IBM i (AS/400) development. The ideal candidate should have solid expertise in RPG, CL, DDS, DB2/400, and SQL, along with experience in application development, maintenance, troubleshooting, and production support.

Key Responsibilities

* Design, develop, test, and maintain applications on the IBM i (AS/400) platform.

* Develop and maintain programs using RPG/ILE RPG, RPG IV, Free-Form RPG, CL, DDS, and SQL.

* Analyze business requirements and translate them into effective technical solutions.

* Develop, enhance, and maintain application programs, modules, and interfaces.

* Write efficient SQL queries and perform SQL/database performance tuning.

* Work with DB2/400, Query/400, and related IBM i database technologies.

* Troubleshoot, debug, and resolve application and production issues.

* Perform root-cause analysis and implement appropriate fixes.

* Integrate AS/400 applications with external systems using APIs, web services, flat files, and other interfaces.

* Participate in application enhancements, testing, deployment, and maintenance activities.

* Ensure code quality, performance, security, and adherence to development standards.

* Collaborate with functional teams and other technical teams to understand requirements and deliver solutions.

* Prepare and maintain technical documentation as required.

Required Skills

* 6+ years of hands-on experience in AS/400 / IBM i development.

* Strong expertise in RPG IV / ILE RPG / Free-Form RPG.

* Strong knowledge of CL/CLLE, DDS, DB2/400, and SQL.

* Experience with SQL queries, stored procedures, and performance tuning.

* Good understanding of IBM i architecture and application development.

* Experience in debugging and production support.

* Experience working with system interfaces, APIs, web services, and file handling.

* Knowledge of source/version control tools such as Git or SVN is an advantage.

* Strong analytical, problem-solving, and debugging skills.

* Good communication and teamwork skills.

Preferred Qualifications

* Experience working on enterprise-level AS/400 applications.

* Experience with application modernization or integration with modern technologies.

* Ability to work independently in a remote environment.

* Strong understanding of SDLC and software development best practices.

Work Mode

Remote Opportunity

About Oddr

Oddr is an AI-powered revenue-intelligence platform for the legal industry, helping law firms modernize

billing, collections, reconciliation, and revenue forecasting across the full invoice-to-cash lifecycle.

Why this role exists

We're looking for a seasoned Senior QA Engineer with 6–8 years of experience in complex, enterprise-

scale software to join our Agile product team and be a quality champion embedded across the full

software development lifecycle — from refining user stories to post-release checks — ensuring we ship

reliable, performant software at pace. With core strengths in understanding applications and business

processes, designing test strategies, test plans and validating acceptance criteria via detailed test

cases. Experience in QA automation is a plus — not the focus.

What you'll do

 Own test strategy and perform end to end execution for complex, multi-module features

 Shape quality upstream. Partner with product and engineering to clarify acceptance criteria

and Definition of Done and raise quality risks while they're still cheap to fix.

 Test new features. Exploratory and scenario-based testing of new functionality

 Own the regression suite end to end - its architecture, conventions, quality bar, and roadmap.

 Drive continuous improvement of QA processes, tools, and standards across the team.

Must-haves

 Ownership mindset - you can take a test suite as your own, set its standards, make and

defend trade-off decisions, and say no when coverage isn't worth it.

 Product and feature literacy - you can look at a feature, reason about what matters to users,

and translate that into the right tests, acceptance criteria, and risk-based priorities.

 Strong exploratory and scenario-based testing - boundary, negative, and edge-case

thinking.

 API testing of REST services and comfort reading Swagger/OpenAPI specs.

 Solid SQL skills for data validation and defect investigation.

 Clear communication and the ability to mentor; comfortable in Agile/Scrum/Kanban.Nice-to-have

 Hands-on browser automation with Playwright (or strong Cypress/Selenium with willingness

to move to Playwright), in TypeScript/JavaScript.

 Comfort with AI-assisted development tooling (Claude Code, Playwright MCP, Copilot) as an

accelerant for writing and self-healing tests.

 Experience building or substantially evolving a test suite from scratch, not just maintaining

one.

 Domain exposure to LegalTech, FinTech, or Billing/AR workflows.

 Awareness of non-functional testing (performance, accessibility, security)

What we offer

Competitive salary, performance bonus, and equity (ESOPs); comprehensive health insurance (self,

spouse, parents, children); flexible remote-first culture.

Work collaboratively with other developers and other product teams members to craft production ready features that have Quality built-in from inception

Collaborate with business analysts, product owners to confirm the requirements if they are not clear.

Be comfortable having technical conversations with the wider technology teams in Australia, Manila and India.

Good English communication is must.

Design solution for modules and execute them. Should be able to design and architect solutions with help of diagrams

Good at writing code which is testable, divided into clean and small modules.

Good at using ci-cd tools like

Jenkins, Harness for the purpose of

deploying code changes.

4+ years of proven experience as an Fullstack Developer primarily in javascript background

Must have experience in design and development of automation frameworks such as Javascript, Typescript, Nodejs, reactjs, Nextjs, Graphql, PostgresDB. If not postgres then they should have good amount of experience in working in SQL DB server.

Should be confident running CI/CD pipelines for testing/deploying their work

Exposure to teams with engineering practices including DevOps, high levels of automation and infrastructure as code Excellent communication skills

Greetings from LL Tech Solutions!

We are urgently looking for an experienced GA4 Lead Analyst for a domestic requirement. The ideal candidate should have strong hands-on experience in web analytics, GA4, Universal Analytics, SQL, BigQuery, dashboard development and experimentation.

Job Details

• Experience: 8+ years
• Location: Remote – India
• Shift Timing: 3:30 PM–12:30 AM
• CTC: Up to ₹28 LPA
• Notice Period: Immediate joiners only
• Employment Type: Full-time
• Requirement Type: Domestic/India

Key Responsibilities

• Lead web and digital analytics initiatives using GA4 and Universal Analytics.
• Analyse website and customer-journey data to identify trends and business opportunities.
• Extract, manipulate and analyse large datasets using SQL and BigQuery.
• Design and maintain dashboards using Looker Studio, Tableau, Power BI or similar tools.
• Define KPIs and build scalable reporting and measurement frameworks.
• Conduct A/B tests, validate hypotheses and analyse experiment results.
• Ensure accuracy and consistency across analytics reports and data sources.
• Translate complex data into actionable business recommendations.
• Collaborate with product, marketing, engineering and business teams.
• Present insights and strategic recommendations to senior stakeholders.
• Mentor team members and ensure the timely delivery of analytics projects.

Mandatory Skills

• Strong hands-on experience with GA4 and Universal Analytics.
• Advanced SQL and BigQuery experience.
• Dashboard development using Looker Studio, Tableau or Power BI.
• Strong understanding of web analytics, customer journeys, funnels and conversion tracking.
• Ability to identify trends and convert findings into strategic recommendations.
• Excellent communication and stakeholder-management skills.
• Prior experience leading analytics projects or teams.

Good-to-Have Skills

• Experience with Google Tag Manager and event-tracking frameworks.
• Understanding of hypothesis testing and regression fundamentals.
• Hands-on experience running A/B tests and analysing results.
• Exposure to e-commerce, product or digital marketing analytics.
• Knowledge of data validation, governance and analytics implementation.

Please include your current CTC, expected CTC, notice period and current location while applying.

Senior-level .NET Developer

Experience – 5–8 years

Location – Remote

Core Requirements -

• Proficiency in modern C# and .NET SDK, including async/await and LINQ.
• Familiarity with .NET 8 and modern .NET development.
• Experience with Azure App Service, Azure Functions, and Azure DevOps.
• Strong experience with .NET Core and cross-platform application development.
• Understanding of microservices, containerization, and serverless computing patterns.
• Familiarity with integrating AI/ML technologies into .NET applications. Claude Code preferred.
• Understanding of DevOps practices and tools, including Azure DevOps.
• React 18+: Experience with concurrent rendering, Suspense, and server components if using Next.js.
• TypeScript: Strong experience building typed React applications.
• State Management: Experience with Redux Toolkit, Zustand, or React Query for server state.
• UI Frameworks: Experience with Material UI (MUI), Chakra UI, or Tailwind CSS.
• Routing: Experience with React Router v7 or Next.js routing if SSR/SSG is used.
• API Integration: Experience with Fetch API, Axios, or React Query for consuming .NET APIs.
• Form Handling: Experience with React Hook Form or Formik, including validation using Yup/Zod.
• Testing: Experience with Jest, React Testing Library, and/or Cypress for E2E testing.
• Build Tools: Experience with Vite, Webpack 6, or Turbopack.
• Performance Optimization: Experience with code splitting, lazy loading, and memoization.
• CORS: Understanding of CORS configuration in ASP.NET Core for React clients.

Nice to Have -

• Experience in Case Management, Legal, Financial, or Mortgage domains.
• Legacy development experience, as the role will involve some legacy work while transitioning to newer development.

Software Development Engineer

What you'll do

Be the dedicated engineer for one of our clients. Learn their business, find what to automate, and build it.

Build automations, integrations, and web apps on whatever the client runs business platforms like the Zoho suite, cloud services like Azure, and custom apps where needed.

Work with APIs every day: connect systems, move data, make tools talk to each other.

Own work end to end: hear the problem from the stakeholder, build the solution, ship it, demo it, support it.

Resolve client tickets and bugs fast. Keep their systems and data healthy.

Write things down: clear docs, clear updates, clear commit history.

What we're looking for

2–5 years shipping software that works and being able to read it, debug it, and stand behind it.

Strong with REST APIs and integrations between systems.

Happy working inside business platforms (Zoho, Salesforce, or similar). Much of the leverage in this role lives there, not in custom code.

You can sit in a call with a non-technical client, understand the real problem, and come back with a working solution.

Self-driven. You'll often be the only engineer on a problem.

Why you'll love this role

Full ownership from first call to delivery you run projects, not just a ticket queue.

Direct access to clients and leadership. Your decisions ship the same week.

Constant variety: new systems, new problems, new builds.

Location - Remote (India)

Key Responsibilities 

• Design, develop, and maintain database schemas, stored procedures, views, and queries in SQL Server and MySQL. 

• Identify and resolve query performance bottlenecks using execution plans, indexing strategies, and tuning techniques. 

• Conduct regular database health checks and performance reviews to ensure optimal operation. 

• Collaborate with development and operations teams to support application data requirements. 

• Write and optimize complex SQL scripts to meet business and operational needs. 

• Support the DBA Team Lead with day-to-day database operations and incident resolution. 

• Assist in monitoring database availability, integrity, and backups. 

• Document database structures, procedures, and changes in a clear and organized manner. 

• Implement best practices for data storage, retrieval, and processing efficiency. 

• Contribute to the continuous improvement of database standards and internal processes. 

• Identify and effectively prioritize situations requiring urgent attention. 

• Stay current with system information, database technologies, changes, and updates. 

• Experience with cloud-managed databases (e.g., Microsoft Azure SQL Database, Amazon RDS) and understanding of scaling, cost optimization, and high availability in cloud environments. 

• Hands-on exposure to database automation and CI/CD practices (schema versioning, deployment pipelines, Infrastructure as Code). 

• Strong knowledge of high availability and disaster recovery design, including replication, failover, and defined RPO/RTO ownership. 

• Familiarity with database security best practices (encryption, access control, auditing, and protection of sensitive/regulated data). 

• Experience with monitoring and observability tools, with a proactive approach to performance tuning and alerting. 

• Scripting ability (PowerShell, Python, or Bash) to automate routine database operations and reduce manual effort. 

• Experience with database migrations, version upgrades, or modernization initiatives (on-prem to cloud or legacy to current platforms). 

• Ability to operate in a DevOps-oriented environment, partnering closely with engineering teams and owning database performance tied to application SLA. 

• Proficiency in T-SQL and/or standard SQL. 

• Ability to multi-task and adjust priorities quickly in a fast-paced environment. 

• Ability to research and implement solutions using available technical resources. 

• Strong analytical and problem-solving skills with attention to detail. 

• Ability to clearly communicate technical concepts to non-technical stakeholders. 

• Advanced knowledge of database performance tuning and query optimization. 

• Familiarity with cloud database platforms such as Microsoft Azure SQL, AWS   RDS, or equivalent. 

• Experience with database deployment automation and CI/CD pipelines. 

• Understanding of high availability, disaster recovery, and data protection strategies. 

• Working knowledge of database monitoring and performance management tools. 

• Basic scripting skills (PowerShell, Python, or Bash) for automation. 

• Awareness of data security and compliance considerations in regulated environments. 

Required Skills 

• Proven working experience as a Database Administrator or in a similar role. 

• Working knowledge of Microsoft SQL Server (SSIS, T-SQL, DDL, SML) 

• Working knowledge of MySQL or MariaDB. 

• A minimum of 5 years of experience in database administration. 

• Understanding of database normalization and data modeling principles. 

Nice to Have 

• MacOS, iOS, Android, Linux OS beneficial but not required. 

• ETL processes or data warehouse experience beneficial but not required. 

• Microsoft Certified: Azure Database Administrator Associate or equivalent SQL Server certification preferred but not required. 

• MySQL certification preferred but not required. 

Job Summary

We are seeking an experienced Integration Support Engineer with 2+ years of experience in enterprise integration and production support. This role will act as the complete owner of the customer support board — managing, triaging, and resolving support tickets end to end while coordinating with engineering, product, and implementation teams. The ideal candidate has strong hands-on experience with Boomi or another iPaaS platform, deep working knowledge of databases and REST APIs, and a track record of rigorous testing and validation. Experience with Intapp Integration Builder is a plus.

Work Hours: 6:00 PM – 5:00 AM, with flexible breaks during the shift.

Key Responsibilities

• Own the customer support board end to end — triaging incoming tickets, managing priority and status, and driving each issue through to resolution.

• Serve as the frontline point of contact for customers on integration issues, providing clear, timely communication throughout the life of a ticket.

• Debug and troubleshoot integrations built on Boomi or other iPaaS platforms, performing root-cause analysis and resolving incidents within SLAs.

• Write, optimize, and troubleshoot SQL queries against production and staging databases for data validation, reconciliation, and issue investigation.

• Work extensively with REST/SOAP APIs, FTP/SFTP, and data formats such as JSON and XML to diagnose and resolve integration failures.

• Test and validate reported issues, including reproducing defects, verifying fixes, and confirming resolution before closing tickets.

• Participate in integration design and enhancement work, contributing to the build and improvement of existing integration processes.

• Take up new development and change requests, following SDLC practices — design, build, test, and deploy — to release changes safely to production.

• Work across internal teams — engineering, product, and implementation — to triage incoming issues, determine ownership, and coordinate resolution.

• Collaborate closely with engineering, product, and implementation teams to resolve both technical issues (database, integration, and server-side) and business/process issues.

• Stay flexible and continuously build cross-functional knowledge, since resolving tickets often requires learning new systems and business workflows on the fly.

• Maintain technical documentation, support guides, and troubleshooting procedures.

Qualifications:

• Bachelor's degree in Computer Science, IT, or a related field.

• 2+ years of experience in integration engineering, integration support, or a similar role.

• Hands-on experience with Boomi or another iPaaS platform.

• Strong, demonstrable skills in SQL and database troubleshooting — this role requires day-to-day, hands-on database work.

• Strong REST/SOAP API knowledge, including testing, debugging, and validating API-based integrations.

• Solid experience with structured testing and validation practices for integration issues.

• Good understanding of integration patterns, cloud technologies, and production support.

• Strong analytical, communication, and stakeholder-management skills.

• Ability to work flexibly across engineering, product, and implementation stakeholders, and to quickly learn new systems and domains.

• Willingness and ability to work the required shift: 6:00 PM – 5:00 AM.

Preferred Skills

• Boomi or relevant iPaaS certification.

• Experience with Intapp Integration Builder.

• Knowledge of Azure Functions, Logic Apps, and other Azure services.

• Experience with monitoring, logging, and integration observability.

What We Offer

Competitive salary and benefits, work-from-home flexibility, a dynamic work environment, and opportunities for professional growth while working on enterprise-grade integrations.

About MyOperator

MyOperator is a Business AI Operator platform that brings together WhatsApp, Calls, and AI-powered chat & voice bots to help businesses manage customer operations such as Sales, Support, Escalations, Feedback, and Refunds. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows.

About the Role

We are looking for a Senior QA Engineer (SDET) to own and scale automation across our web, backend, mobile, and AI-driven workflows.

This is a hands-on automation engineering role, not a manual testing role. You will build and maintain Playwright-based automation, strengthen mobile and API testing, integrate automation into CI/CD, and work closely with engineering teams to catch issues before they reach production.

What You'll Do

• Design, build, and maintain Playwright-based end-to-end automation for web applications.
• Build and maintain mobile test automation for Android and/or iOS using Appium, Espresso, XCUITest, or equivalent tools.
• Develop automated tests for REST/GraphQL APIs and validate backend data using SQL.
• Integrate automated test suites into CI/CD pipelines and maintain reliable test execution.
• Identify and resolve flaky tests and continuously improve automation coverage and reliability.
• Use AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools for test authoring, debugging, and test-data generation.
• Work closely with frontend, backend, and AI engineering teams to identify testability gaps early.
• Contribute to testing AI/LLM-driven features, where expected outputs may not always be deterministic.

Must Have

• 6–8 years of experience in QA/SDET or test automation roles.
• Strong hands-on experience with Playwright — mandatory.
• Hands-on mobile automation experience — mandatory using Appium, Espresso, XCUITest, or equivalent.
• Strong experience in API/backend automation using REST or GraphQL.
• Good knowledge of SQL for database validation.
• Strong programming and automation skills.
• Experience integrating automation into CI/CD pipelines.
• Practical experience using AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar.
• Ability to independently own automation initiatives.

Good to Have

• Experience testing AI/LLM, chatbot, conversational AI, or voice bot products.
• Experience with Langfuse or similar LLM observability tools.
• Experience with Datadog or similar APM tools.
• Experience with GitHub Actions, Jenkins, or similar CI/CD tools.
• Exposure to performance/load testing tools such as k6 or JMeter.

This Role Is Not For

• Candidates whose experience is primarily in manual testing.
• Candidates with limited hands-on coding or automation experience.
• Candidates without practical Playwright experience.
• Candidates without mobile automation experience.
• Candidates who have only executed test cases on an existing framework without meaningful automation ownership.

Why MyOperator?

Work on an AI-first customer operations platform used by 12,000+ businesses, and build automation across web, backend, mobile, and AI workflows while working closely with engineering teams.

If you enjoy writing automation code, solving complex testing problems, and taking end-to-end ownership, we'd love to hear from you.

About MyOperator

MyOperator is a Business AI Operator platform that brings together WhatsApp, Calls, and AI-powered chat & voice bots to help businesses manage customer operations such as Sales, Support, Escalations, Feedback, and Refunds. With 12,000+ businesses using our platform, we operate at meaningful scale and power mission-critical communication workflows.

About the Role

We are looking for a Senior QA Engineer (SDET) to own and scale automation across our web, backend, mobile, and AI-driven workflows.

This is a hands-on automation engineering role, not a manual testing role. You will build and maintain Playwright-based automation, strengthen mobile and API testing, integrate automation into CI/CD, and work closely with engineering teams to catch issues before they reach production.

What You'll Do

• Design, build, and maintain Playwright-based end-to-end automation for web applications.
• Build and maintain mobile test automation for Android and/or iOS using Appium, Espresso, XCUITest, or equivalent tools.
• Develop automated tests for REST/GraphQL APIs and validate backend data using SQL.
• Integrate automated test suites into CI/CD pipelines and maintain reliable test execution.
• Identify and resolve flaky tests and continuously improve automation coverage and reliability.
• Use AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar tools for test authoring, debugging, and test-data generation.
• Work closely with frontend, backend, and AI engineering teams to identify testability gaps early.
• Contribute to testing AI/LLM-driven features, where expected outputs may not always be deterministic.

Must Have

• 6–8 years of experience in QA/SDET or test automation roles.
• Strong hands-on experience with Playwright — mandatory.
• Hands-on mobile automation experience — mandatory using Appium, Espresso, XCUITest, or equivalent.
• Strong experience in API/backend automation using REST or GraphQL.
• Good knowledge of SQL for database validation.
• Strong programming and automation skills.
• Experience integrating automation into CI/CD pipelines.
• Practical experience using AI coding assistants such as Claude, GitHub Copilot, Cursor, or similar.
• Ability to independently own automation initiatives.

Good to Have

• Experience testing AI/LLM, chatbot, conversational AI, or voice bot products.
• Experience with Langfuse or similar LLM observability tools.
• Experience with Datadog or similar APM tools.
• Experience with GitHub Actions, Jenkins, or similar CI/CD tools.
• Exposure to performance/load testing tools such as k6 or JMeter.

This Role Is Not For

• Candidates whose experience is primarily in manual testing.
• Candidates with limited hands-on coding or automation experience.
• Candidates without practical Playwright experience.
• Candidates without mobile automation experience.
• Candidates who have only executed test cases on an existing framework without meaningful automation ownership.

Why MyOperator?

Work on an AI-first customer operations platform used by 12,000+ businesses, and build automation across web, backend, mobile, and AI workflows while working closely with engineering teams.

If you enjoy writing automation code, solving complex testing problems, and taking end-to-end ownership, we'd love to hear from you.

Location: Bangalore / Hybrid

Duration: 6 months

Internship type: Full-time

Stipend: ₹20,000 per month

Potential outcome: Full-time opportunity based on performance

About the Role

We are looking for a hands-on Supabase Engineering Intern to help build and strengthen the backend of our SaaS products.

You will work with Supabase not merely as a hosted database, but as a complete backend platform—including PostgreSQL, authentication, Row-Level Security, storage, database functions, migrations, and application integrations.

This is a full-time, six-month internship suited to someone who has already built projects using Supabase and wants experience working on a real multi-tenant production application.

What You Will Work On

• Design and maintain PostgreSQL tables, relationships, indexes, and constraints.
• Implement secure multi-tenant access using Supabase Row-Level Security policies.
• Integrate Supabase Auth with a Next.js and TypeScript application.
• Build backend workflows using database functions, triggers, RPCs, and Edge Functions.
• Manage schema migrations across development and production environments.
• Work with Supabase Storage and implement secure file-access policies.
• Diagnose slow queries and improve database performance.
• Build reliable application APIs and data-access layers.
• Write seed data, automated tests, and technical documentation.
• Help investigate and resolve production database, authentication, and permission issues.
• Review existing implementations for data leakage, incorrect RLS policies, and security risks.

Required Skills

• Practical experience building at least one project using Supabase.
• Good understanding of SQL and relational database fundamentals.
• Familiarity with PostgreSQL tables, joins, indexes, constraints, and transactions.
• Experience with JavaScript or TypeScript.
• Basic experience with Next.js, React, Node.js, or another modern web framework.
• Understanding of authentication and authorization concepts.
• Ability to use Git and GitHub.
• Strong debugging and problem-solving skills.
• Ability to commit full-time for the complete six-month internship.

Good to Have

• Experience implementing Supabase Row-Level Security policies.
• Understanding of multi-tenant SaaS architecture.
• Experience with Supabase Edge Functions, database functions, triggers, or RPCs.
• Familiarity with PostgreSQL query optimization and EXPLAIN ANALYZE.
• Experience managing Supabase migrations through the CLI.
• Knowledge of REST APIs, webhooks, background jobs, or third-party integrations.
• Experience using AI coding tools such as Cursor, Claude Code, or Codex.
• Contributions to open-source projects or independently deployed applications.

Who Should Apply

You may be a good fit if you:

• Have built and deployed a working Supabase application.
• Enjoy backend engineering, databases, and debugging.
• Can explain why you structured your database and access policies in a particular way.
• Are comfortable learning through documentation and experimentation.
• Take ownership instead of waiting for detailed instructions for every task.
• Want meaningful product-engineering experience rather than a certificate-based internship.

What You Will Learn

• How production-grade multi-tenant SaaS applications are designed.
• Secure database access using PostgreSQL Row-Level Security.
• Development-to-production database migration workflows.
• Authentication, authorization, storage, and backend architecture.
• Performance optimization and production debugging.
• How a startup engineering team ships and operates real products.

Application Process

To apply, please share:

1. Your resume.
2. GitHub profile.
3. Links to one or two relevant projects.
4. A short explanation of how you used Supabase in one project.
5. An example of an RLS policy, database function, or Edge Function you have written.
6. Your current location and availability.
7. Confirmation that you can commit full-time for six months.

Important: Tutorial-only projects will not be sufficient. We are looking for candidates who can demonstrate that they understand the database and security decisions made in their projects.

Position: Laravel Developer

Company: Mayura Consultancy Services

Experience: 2 yrs

Location: Bangalore

Skill: HTML, CSS, Bootstrap, JavaScript, Ajax, jQuery, PHP and Laravel

Work Location: Work From Home (WFH)

Website: https://www.mayuraconsultancy.com/careers/mcs-laravel-developer-opening?r=jlp

Requirements:

• Prior experience in Full Stack Development using PHP Laravel.

Perks of Working with MCS:

• Contribute to Innovative Solutions: Join a dynamic team at the forefront of software development, contributing to innovative projects and shaping the technological solutions of the organization.
• Work with Clients from across the Globe: Collaborate with clients from around the world, gaining exposure to diverse cultures and industries, and contributing to the development of solutions that address the unique needs and challenges of global businesses.
• Complete Work from Home Opportunity: Enjoy the flexibility of working entirely from the comfort of your home, empowering you to manage your schedule and achieve a better work-life balance while coding innovative solutions for MCS.
• Opportunity to Work on Projects Developing from Scratch: Engage in projects from inception to completion, working on solutions developed from scratch and having the opportunity to make a significant impact on the design, architecture, and functionality of the final product.
• Diverse Projects: Be involved in a variety of development projects, including web applications, mobile apps, e-commerce platforms, and more, allowing you to showcase your versatility as a Full Stack Developer and expand your portfolio.

Joining MCS as a Full Stack Developer opens the door to a world where your technical skills can shine and grow, all while enjoying a supportive and dynamic work environment. We're not just building solutions; we're building the future—and you can be a key part of that journey.

Job Title : Data Platform Engineer (SDE 2 / SDE 3)

Experience : 3 to 8 Years (SDE2 : 3 to 5 Years | SDE3 : 5.5 to 8 Years)

Location : Remote (Contract) → Pune (Post Conversion)

Employment Type : Contract-to-Hire (3 Months)

Mandatory Skills :

Java / Python / Go, SQL, Data Engineering, ETL / ELT, Apache Airflow, Apache Spark / Flink, Kafka, AWS/GCP/Azure, Distributed Systems, API Development, Docker, Kubernetes, CI/CD, System Design

Role Overview :

We are looking for a Data Platform Engineer with strong backend engineering expertise to build scalable, high-performance data platforms and distributed systems. The ideal candidate should have hands-on experience in developing production-grade backend applications along with designing and maintaining modern data pipelines.

Key Responsibilities :

• Build and maintain scalable ETL/ELT and data processing pipelines.
• Develop backend services and APIs using Java (preferred), Python, or Go.
• Design batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow.
• Optimize SQL queries, data models, and distributed data systems.
• Work with cloud platforms (AWS, GCP, or Azure) and container technologies (Docker, Kubernetes).
• Implement CI/CD, monitoring, logging, and performance optimization.
• Collaborate with product and engineering teams on scalable system design and architecture.

Required Qualifications :

• SDE 2 : 3 to 5 years of Backend + Data Engineering experience.
• SDE 3 : 5.5 to 8 years of Backend + Data Engineering experience.
• Strong coding skills in Java (preferred), Python, or Go.
• Excellent SQL and data modeling knowledge.
• Hands-on experience with Airflow, Apache Spark / Apache Flink, or similar technologies.
• Experience building scalable backend services and APIs.
• Good understanding of distributed systems, system design. and scalable architecture.
• Experience with cloud platforms (AWS, Azure, or GCP).
• Hands-on experience with Docker and Kubernetes.
• Strong understanding of CI/CD pipelines.
• Excellent problem-solving and debugging skills.

Good to Have :

• Experience with Snowflake, BigQuery, or Redshift.
• Understanding of Kafka, Kinesis, or Pub/Sub
• Performance optimization of large-scale distributed systems
• FinTech or high-scale distributed systems experience.
• Knowledge of data governance, security, and compliance.

Preferred Candidate Profile :

• Strong Backend + Data Engineering experience
• Experience building scalable production systems
• Strong ownership mindset
• Good system design knowledge
• Experience processing millions of events using Kafka/Spark
• Built APIs supporting data infrastructure
• Production engineering experience

Interview Process :

1. Take-home Coding Assignment (48 Hours)
2. Leadership & Strategy Round (1 Hour)
3. Technical Depth – Data Engineering & Performance (1 Hour)
4. Culture & Values Fit (30 Minutes)

Company Description

We are seeking a QA Engineer to join our engineering team and support the validation of AI-assisted software testing. In this role, you will work closely with senior engineers to evaluate AI-generated test scenarios, validate outcomes, identify inconsistencies, and provide structured feedback that improves product quality and AI model performance.

This is an excellent opportunity for professionals who are detail-oriented, analytical, and interested in working at the intersection of Quality Assurance and Artificial Intelligence.

Job Description

• Execute AI-generated test scenarios against historical job packages and validate expected outcomes.
• Perform manual verification of AI-generated results to determine whether test scenarios have passed or failed.
• Review AI-generated evidence and identify false positives, false negatives, inconsistencies, or missing validations.
• Document defects, observations, and actionable feedback for engineering and product development teams.
• Collaborate with senior QA engineers and software developers to improve product quality and AI testing capabilities.
• Re-test resolved issues and verify fixes as new builds become available.
• Maintain detailed testing documentation and ensure traceability of validation results.
• Participate in QA reviews and continuously contribute to improving AI-assisted testing processes.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 5–8 years of experience in Software Quality Assurance, Manual Testing, or QA Analysis.
• Strong attention to detail with excellent analytical and problem-solving skills.
• Ability to interpret test results and identify discrepancies.
• Experience documenting defects and working with engineering teams to resolve issues.
• Good written and verbal communication skills.
• Familiarity with software testing methodologies and defect lifecycle management.
• Exposure to Agile development environments is preferred.
• Experience with AI-assisted testing or automation tools is an added advantage but not mandatory.

Roles and Responsibilities: 

You’ll work closely with Goalkeep’s internal team and support client projects as needed. Your responsibilities will include: 

A. Infrastructure Maintenance & Optimization 

● Design and review data pipeline diagrams for both client and internal projects

● Build data pipelines by writing clean, efficient SQL queries for data analysis and quality checks 

● Monitor data pipeline performance and infrastructure costs, proactively resolving issues and identifying opportunities to improve reliability, efficiency, and cost-effectiveness.

● Maintain and upgrade Goalkeep’s internal tech infrastructure 

B. Tech Leadership & Team Enablement 

● Provide technical guidance, troubleshooting support, and coaching to strengthen data analysts’ skills so that they can successfully deliver on client projects 

● Create technical documentation, troubleshooting guides and reusable resources that improve team efficiency. 

● Foster a culture of curiosity, continuous learning and knowledge sharing across the team. 

C. AI-Enabled Data Engineering & Innovation 

● Explore and leverage AI tools to improve the efficiency, reliability and scalability of Goalkeep's data engineering workflows. 

● Identify opportunities to automate repetitive engineering and data quality tasks using AI-assisted approaches. 

● Work with internal teams to embed AI into engineering workflows while ensuring reliability, transparency and maintainability.

What we’re looking for:

Hard Skills 

● Data modeling and database management (PostgreSQL, MySQL, or SQL Server)

● Data engineering: writing efficient SQL, designing pipelines 

● Installing and maintaining software on Linux systems 

● Familiarity with cloud-based platforms (AWS / GCP / Azure) is a must

Soft Skills & Mindsets 

● Ability to coach others through patient communication & technical guidance.

● Curiosity and accountability when investigating system issues 

● Strong problem-solving ability with a structured and analytical approach. Preferred Qualifications: 

● Engineering degree with a minimum 4 years of experience working as a data scientist / data analyst/ data engineer 

● Bachelor's degree in any STEM field 

● Past experience in SQL (any dialect) 

● Knowledge of software engineering best practices and version control (Git)

What’s in it for you? 

1. The chance to work at the intersection of social impact and technology.

2. Shape how AI is responsibly applied to solve real-world data challenges for nonprofits.

3. Mentor and grow a technically strong team while influencing Goalkeep's engineering practices. 

4. Be part of a close-knit team passionate about using data for good.

Compensation Range: 

INR 9.0 lac – Rs. 12.0 lac per annum 

Apply here: 

https://forms.gle/eh2RDgtpWHv4f8mE6

Build backend systems that make complex workflows reliable, maintainable, and easier to evolve. You’ll work on production Python services, modernize existing applications, and deliver APIs and integrations used by real teams.

The role is focused on backend development using Python, Django, and FastAPI, with occasional contributions to frontend applications built with React or Next.js. You will work across API development, system integrations, data workflows, background processing, and the modernization of existing services.

You will help improve reliability and operational maturity using AWS, practical Site Reliability Engineering principles, and observability platforms such as Datadog, Grafana, CloudWatch, Prometheus, or similar tools.

This is a backend-first role for an engineer who understands that testing, security, reliability, and observability are core parts of production software development.

What you'll do

• Own the delivery and day-to-day reliability of clearly scoped backend features and APIs built with Python, Django, and FastAPI.
• Improve the maintainability of existing services by simplifying legacy workflows, business logic, data models, and integrations.
• Deliver secure, well-documented APIs that enable frontend applications, internal tools, and third-party integrations.
• Keep data workflows reliable through safe schema changes, migrations, backfills, validation, and failure recovery.
• Build background jobs and asynchronous workflows that handle retries, timeouts, rate limits, idempotency, and operational failures.
• Raise confidence in releases through automated tests, thoughtful code reviews, and production-readiness checks.
• Improve performance and reliability using profiling, query optimization, caching, monitoring, and practical fault handling.
• Make services easier to operate by maintaining useful logs, metrics, dashboards, alerts, and runbooks.
• Contribute to React or Next.js integrations and internal administration interfaces when needed to deliver complete product outcomes.
• Collaborate with product, frontend, platform, DevOps, SRE, and operations teammates to ship well-scoped solutions and document technical decisions.

What we're looking for

Required

• 3–5 years of professional software engineering experience, mainly in backend development.
• Good proficiency in Python and production experience with either Django or FastAPI, with willingness to learn the other.
• Practical experience designing REST APIs and integrating with third-party or internal services.
• Working knowledge of SQL, relational databases, an ORM such as Django ORM or SQLAlchemy, and database migrations.
• Experience writing automated tests and diagnosing defects or production issues.
• Good problem-solving, communication, documentation, and collaboration skills.

Preferred

• Familiarity with background jobs or asynchronous processing using Celery, SQS, RabbitMQ, Kafka, or similar tools.
• Experience deploying or supporting applications on AWS or another cloud platform.
• Familiarity with structured logging, metrics, dashboards, alerts, and observability tools.
• Exposure to React or Next.js integrations.
• Experience with Docker, Redis, webhooks, queues, or event-driven systems.
• Familiarity with CI/CD pipelines, infrastructure-as-code, secrets management, and least-privilege access.
• Experience helping with production incidents, performance testing, or safe deployment practices.

About the job

Must-Have Skills

• 5+ years in data architecture / data engineering, with at least 2+ years in an architect or lead capacity
• Strong SQL — advanced query optimization, indexing, partitioning strategies
• Data modeling — dimensional modeling (star/snowflake schema), normalization/denormalization tradeoffs, entity relationship design
• Cloud data platforms — hands-on with AWS (Redshift, S3, Glue), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow)
• Big data ecosystems — Spark, Hadoop, or Kafka for large-scale/streaming data
• Data warehousing — Snowflake, Redshift, BigQuery, or Databricks
• ETL/ELT pipeline design — Airflow, dbt, Fivetran, or similar orchestration tools
• Data governance & security — data lineage, access control, compliance (GDPR/SOC2), master data management

Strongly Preferred

• Experience architecting systems supporting ML/AI pipelines (feature stores, vector DBs, real-time inference data flows)
• Programming — Python or Scala for pipeline development
• API/microservices architecture exposure — understanding how data systems integrate with application layers
• Experience with data mesh / data lake house architectures
• Prior experience presenting architecture decisions to leadership/stakeholders

Job Title : Senior Support Engineer

Experience : 5+ Years

Location : Remote

Employment Type : Contract

About the Role :

We are hiring a Senior Support Engineer to provide production support for enterprise data products, APIs, and customer-facing applications supporting a leading telecommunications client. You will be responsible for incident triage, stakeholder communication, issue coordination, and ensuring SLA-driven support while working closely with SRE, Data Engineering, API, ML, and Cybersecurity teams.

Mandatory Skills :

Technical Support, Production Support, Incident Management, ServiceNow/Jira Service Management, SQL, Postman, REST APIs, ITSM, SLA Management, Troubleshooting, Stakeholder Management

Key Responsibilities :

• Monitor and triage production incidents across APIs, web portals, and data platforms.
• Perform initial troubleshooting using logs, SQL, and API testing tools.
• Log, prioritize, and track incidents using ITSM tools.
• Coordinate with engineering teams for issue resolution and follow up until closure.
• Communicate incident status, resolution timelines, and maintenance updates to stakeholders.
• Maintain support documentation, runbooks, FAQs, and knowledge base.
• Identify recurring issues and recommend long-term improvements.

Required Skills :

• 5+ years of experience in Technical Support, Production Support, or Service Desk.
• Strong experience with Incident Management and SLA-driven support.
• Hands-on experience with ServiceNow, Jira Service Management, or similar ITSM tools.
• Working knowledge of SQL, REST APIs, and Postman/API testing.
• Excellent troubleshooting, communication, and stakeholder management skills.
• Understanding of data privacy and enterprise support processes.
• ITIL Foundation Certification is a plus.

Why Join Us ?

• 100% Remote Opportunity
• Work with a leading global telecommunications client.
• Collaborate with cross-functional teams including SRE, Data Engineering, ML, API, and Cybersecurity.
• Opportunity to support enterprise-scale data platforms and mission-critical applications.

Job Title : Alteryx Developer

Experience : 5+ Years (Senior profiles with 8 to 12+ years preferred)

Location : Remote

Employment Type : Contract

Job Summary :

We are looking for an experienced Alteryx Developer to design, develop, and optimize enterprise ETL workflows, data transformation processes, and workflow automation solutions. The ideal candidate should have strong expertise in Alteryx Designer, Alteryx Server, SQL, ETL development, and enterprise data integration.

Mandatory Skills :

Alteryx Designer, Alteryx Server, ETL Development, Workflow Automation, SQL, Data Transformation, Data Migration, SQL Server/Oracle/MySQL/PostgreSQL, API Integration, Azure/AWS, Git.

Key Responsibilities :

• Design and develop scalable Alteryx workflows and ETL pipelines.
• Build reusable macros, analytic apps, and automated workflows.
• Perform data extraction, transformation, validation, and migration.
• Integrate data from databases, APIs, cloud platforms, and flat files.
• Manage Alteryx Server, workflow scheduling, deployment, and production support.
• Optimize workflow performance and ensure data quality.
• Collaborate with business and analytics teams to deliver data solutions.

Required Skills :

• Hands-on experience with Alteryx Designer and Alteryx Server.
• Strong expertise in ETL development, workflow automation, and data transformation.
• Proficiency in SQL with experience working on large datasets.
• Experience with SQL Server, Oracle, MySQL, or PostgreSQL.
• Knowledge of data migration, data validation, and data cleansing.
• Experience integrating data through APIs, cloud platforms, and flat files.
• Hands-on experience with Git and version control.
• Exposure to Azure or AWS cloud platforms.
• Strong analytical, troubleshooting, and performance optimization skills.

Good to Have :

• Python or Java
• Power BI, Tableau, or Spotfire
• Data Warehousing & Data Modeling
• CI/CD, Agile/Scrum
• Alteryx Designer Core Certification

About the Role

We are looking for a skilled SQL Server DBA with 4–5 years of experience in SQL Server database administration, performance tuning, and enterprise data integration. The ideal candidate should have hands-on experience working with Product Lifecycle Management (PLM) systems, ERP integrations, and data bridge solutions to enable seamless data exchange between enterprise applications.

Key Responsibilities

· Administer, monitor, and maintain Microsoft SQL Server databases to ensure high availability, security, and performance.

· Design, implement, and support PLM–ERP data bridge solutions for seamless integration between Product Lifecycle Management and ERP systems.

· Develop and optimize SQL queries, stored procedures, views, triggers, and database objects.

· Monitor database performance and perform query optimization, indexing, and troubleshooting.

· Design and implement database backup, recovery, disaster recovery, and high availability strategies.

· Build and maintain ETL processes and data synchronization workflows between PLM, ERP, and other enterprise applications. 

· Collaborate with application development teams to support database design and application deployments.

· Perform database migrations, upgrades, patching, and environment maintenance.

· Ensure database security, user management, and compliance with organizational standards.

· Create and maintain technical documentation, database architecture, and operational procedures. 

Required Skills & Experience

· 4–5 years of hands-on experience as a SQL Server DBA.

· Strong expertise in Microsoft SQL Server (2016/2019/2022 or later).

· Excellent knowledge of SQL, T-SQL, Stored Procedures, Functions, Triggers, Views, and Performance Tuning.

· Experience in database backup, restore, replication, indexing, and high availability (Always On, Log Shipping, Replication).

· Hands-on experience working with Product Lifecycle Management (PLM) systems.

· Experience implementing or supporting PLM–ERP data bridge/integration solutions.

· Knowledge of ERP systems such as SAP, Oracle E-Business Suite, Microsoft Dynamics, Infor, or similar platforms.

· Experience with ETL tools and enterprise data integration.

· Strong troubleshooting and root cause analysis skills. 

Preferred Skills

· Experience with Teamcenter, Windchill, Enovia, Arena PLM, or similar PLM platforms.

· Knowledge of SSIS, SSRS, and SSAS.

· Experience with PowerShell or Python scripting for database automation.

· Exposure to Azure SQL Database or cloud-based SQL environments. 

· Understanding of manufacturing, engineering, or product development processes.

· Familiarity with CI/CD and DevOps practices. 

Educational Qualification

· Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Key Competencies

· Strong analytical and problem-solving skills.

· Excellent communication and stakeholder management abilities.

· Ability to work independently in a remote environment.

· Strong attention to detail and commitment to database reliability and performance.

· Ability to manage multiple priorities in a fast-paced environment.

Position: Full Stack Developer ( PHP Codeigniter)

Company : Mayura Consultancy Services

Experience: 2 yrs

Location : Bangalore

Skill: HTML, CSS, Bootstrap, Javascript, Ajax, Jquery , PHP and Codeigniter or CI

Work Location: Work From Home(WFH)

Apply: Please apply for the job opening using the URL below, based on your skill set. Once you complete the application form, we will review your profile.

Website:

https://www.mayuraconsultancy.com/careers/mcs-full-stack-web-developer-opening?r=jlp

Requirements :

• Prior experience in Full Stack Development using PHP Codeigniter

Perks of Working with MCS :

• Contribute to Innovative Solutions: Join a dynamic team at the forefront of software development, contributing to innovative projects and shaping the technological solutions of the organization.
• Work with Clients from across the Globe: Collaborate with clients from around the world, gaining exposure to diverse cultures and industries, and contributing to the development of solutions that address the unique needs and challenges of global businesses.
• Complete Work From Home Opportunity: Enjoy the flexibility of working entirely from the comfort of your home, empowering you to manage your schedule and achieve a better work-life balance while coding innovative solutions for MCS.
• Opportunity to Work on Projects Developing from Scratch: Engage in projects from inception to completion, working on solutions developed from scratch and having the opportunity to make a significant impact on the design, architecture, and functionality of the final product.
• Diverse Projects: Be involved in a variety of development projects, including web applications, mobile apps, e-commerce platforms, and more, allowing you to showcase your versatility as a Full Stack Developer and expand your portfolio.

Joining MCS as a Full Stack Developer opens the door to a world where your technical skills can shine and grow, all while enjoying a supportive and dynamic work environment. We're not just building solutions; we're building the future—and you can be a key part of that journey.

We are seeking experienced Reporting Developers to design, develop, test, and maintain business reports using OBIEE and BI Publisher. The ideal candidate will work closely with Business Analysts and end users to gather requirements, develop reporting solutions, perform testing, and maintain comprehensive documentation throughout the report lifecycle.

Location: Remote (India or Anywhere) – Candidates must be available to work in IST time zone.

Experience: 5+ years

Key Responsibilities

• Develop and maintain reports using OBIEE and BI Publisher.
• Collaborate with Business Analysts and end users to gather and analyse reporting requirements.
• Translate business requirements into technical reporting solutions.
• Perform report validation, testing, and defect resolution.
• Create and maintain report documentation, including:
• Report Specifications
• Functional Documents
• User Guides
• Change Documentation
• Participate in requirement discussions and provide technical recommendations.
• Ensure reporting solutions meet quality, performance, and compliance standards.
• Support report deployment and post-production activities.

Required Skills & Experience

• Strong experience in SQL.
• Hands-on experience with OBIEE and BI Publisher development.
• Working knowledge of Argus.
• Experience in requirements gathering and stakeholder communication.
• Strong testing and validation experience.
• Experience creating technical and functional documentation.
• Good analytical, problem-solving, and communication skills.

Preferred Qualifications

• Experience working in Agile environments.
• Pharmaceutical or Life Sciences domain experience is an advantage.
• Ability to work independently and interact effectively with business users and cross-functional teams.

Job Description: 

Join us at Springer Capital, a corporate inclusion training company dedicated to promoting diversity and equity within the workplace.  

Our mission is to transform organizational cultures and achieve justice by creating environments where every individual is valued and feels a sense of belonging. Through providing training for workplace inclusion, understanding microaggressions, mitigating bias, and cultural literacy, Springer Capital seeks to eliminate bias and establish a just, fair working environment.  

As a Data Automation Intern, you will be focusing on researching and developing tools and workflow that automate some parts and processes of our business automation. Since business automation is important throughout the firm, you will have the opportunity to collaborate with various teams across Springer Capital. 

Key Responsibilities:  

• Collect data from various sources, including databases, APIs, and web scraping tools.    
• Clean and process raw data to ensure it is accurate and consistent.     
• Analyze data to extract insights using computational tools, such as Excel, SQL, and Python.   
• Communicate insights in a clear and concise manner with the manager alongside your progress.    
• Implement solutions based on insights you discovered to improve Springer Capital business’ processes or solve problems for client. 

  Qualifications: 

• Passion for Inclusion: A strong commitment to fighting inequality and promoting inclusion in the workplace. 
• Educational Background: Currently enrolled in or recently graduated from a degree program related to social sciences, human resources, business, statistics.  
• Communication Skills: Excellent written and verbal communication skills. Ability to create clear and engaging content. 
• Organizational Skills: Detail-oriented and highly organized. Ability to manage multiple tasks and deadlines effectively. 
• Analytical and Business Software Skills: Proficiency in business software such as Excel, PowerPoint, and Word with a strong preference of knowledge and experience in data analytics  

 Compensation and Expectations: 

• This internship is remote and unpaid. Interns are expected to work 15-20 hours a week. 

About the Role

We are looking for passionate and driven interns across multiple technology domains including Frontend Development, Backend Development, DevOps, AI/ML, and Data Engineering. This internship offers hands-on experience in real-world projects, collaboration with cross-functional teams, and exposure to modern tools and technologies. 

Domains & Responsibilities 

Frontend Development 

• Build responsive and user-friendly web interfaces  
• Translate UI/UX designs into functional applications  
• Optimize performance and ensure cross-browser compatibility  

 Backend Development 

• Develop APIs and server-side logic  
• Work with databases and data storage solutions  
• Ensure application security and performance  

 DevOps 

• Assist in CI/CD pipeline setup and automation  
• Manage deployments and cloud infrastructure  
• Monitor system performance and reliability  

 AI / Machine Learning 

• Develop and train ML models  
• Work on NLP, automation, or AI-driven features  
• Analyze datasets and evaluate model performance  

 Data Engineering 

• Build and maintain data pipelines (ETL/ELT)  
• Ensure data quality and availability  
• Work with large datasets and optimize data workflows  

 Required Skills (Any Domain) 

• Frontend: HTML, CSS, JavaScript, React/Vue/Angular  
• Backend: Node.js / Python / Java / PHP, APIs, databases  
• DevOps: Linux, Git, CI/CD basics, cloud fundamentals  
• AI/ML: Python, ML basics, TensorFlow/PyTorch/Scikit-learn  
• Data Engineering: SQL, Python, data processing concepts  

 Good to Have 

• Knowledge of Git and version control  
• Basic understanding of cloud platforms (AWS/Azure/GCP)  
• Problem-solving mindset and willingness to learn  
• Exposure to real-world or academic projects  

 Who Should Apply 

• Students or recent graduates in Computer Science, IT, or related fields  
• Candidates with strong interest in any of the above domains  
• Self-learners with project experience are highly encouraged  

 Internship Details 

• Duration: 3–6 months  
• Mode: Remote  
• Certificate + PPO (Pre-Placement Offer) based on performance  

 What You’ll Gain 

• Hands-on experience with real projects  
• Mentorship from experienced professionals  
• Exposure to industry tools and workflows  
• Opportunity to convert to a full-time role 

PHP

Job description

We are seeking a highly skilled Senior Software Developer with proven experience in developing and scaling Education ERP solutions. The ideal candidate should have strong expertise in Core PHP, MySQL, and React Native, along with hands-on experience in implementing ERP modules such as HR, Exams, Inventory, Learning Management System (LMS), Admissions, Fee Management, and Finance.

Key Responsibilities

Design, develop, and maintain scalable Education ERP modules.

Work on end-to-end ERP features, including HR, Exam, Inventory, LMS, Admissions, Fees, and Finance.

Build and optimize REST APIs/GraphQL services and ensure seamless integrations.

Optimize system performance, scalability, and security for high-volume ERP usage.

Conduct code reviews, enforce coding standards, and mentor junior developers.

Stay updated with emerging technologies and recommend improvements for ERP solutions.

Required Skills & Qualifications

Strong expertise in Node.js and Core PHP.

Proficiency with MySQL, MongoDB, PostgreSQL (database design & optimization).

Frontend knowledge: JavaScript, jQuery, HTML, CSS (React Native/Vue preferred).

Experience with REST APIs, GraphQL, third-party integrations (payment gateways, SMS, email).

Hands-on with Git/GitHub, Docker, CI/CD pipelines.

Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

6 years of professional development experience, with a minimum of 3 years in ERP systems.

Preferred Experience

Prior work in Education ERP domain.

Deep knowledge of HR, Exam, Inventory, LMS, Admissions, Fees & Finance modules.

Exposure to high-traffic enterprise applications.

Strong leadership, mentoring, and problem-solving abilities

Benefit;

 Permanent Work From Home.

Role Overview

We are seeking a Senior SQL Developer & ETL Engineer with 5+ years of experience for a 100% remote opportunity.

Please Note: This is not a pure Data Engineering role. We are looking for a true SQL Specialist. Your core strength must lie in relational database development, schema design, and writing high-performance database logic with Python, ETL, Cloud. SQL mastery and database architecture are the absolute heart of this role.

If you are a database developer who loves diving into query execution plans, refactoring messy stored procedures for 10x performance, and building clean data models from scratch, this role is for you.

Key Responsibilities

1. Database Architecture & Schema Design

• Design, implement, and maintain robust relational database schemas.
• Architect optimal data models for both operational (OLTP) and analytical (OLAP/Data Warehousing) workloads.
• Implement Normalization (3NF) and dimensional modeling (Star/Snowflake schemas) as required.

2. Advanced Database Programmability

• Write, debug, and optimize highly complex Stored Procedures, Functions, Triggers, and Views to handle core business logic at the database level.
• Utilize advanced SQL techniques such as CTEs, Window Functions, and complex analytical queries to solve business problems.

3. Performance Tuning & Indexing

• Analyze query execution plans, identify performance bottlenecks, and implement advanced indexing strategies (B-Tree, Clustered/Non-Clustered, Partitioning).
• Refactor legacy SQL code and manage statistics, locking, and concurrency mechanisms to ensure sub-second response times.

4. Python & Cloud ETL/ELT Pipelines

• Develop, schedule, and maintain scalable data ingestion and transformation pipelines to connect disparate data sources.
• Leverage Cloud Data Platforms alongside modern Python libraries to build efficient data movement workflows.

5. Data Integrity & Governance

• Establish strict database constraints, data validation routines, and automated quality checks to guarantee absolute data accuracy.

Required Technical Skills

• Expert-Level SQL & DB Programmability (5+ Years): Mastery of writing server-side logic (Stored Procedures/Functions) and complex queries in enterprise platforms like PostgreSQL, SQL Server, Oracle, or MySQL.
• Advanced Database Optimization: Deep, under-the-hood understanding of database engines, execution plans, indexing strategies, and concurrency/locking control.
• Python for Data Engineering (3+ Years): Proficient in writing clean, modular Python scripts for API integration, data manipulation, and ETL processing (using libraries like Pandas, SQLAlchemy, or custom database connectors).
• Cloud Data Experience: Hands-on experience working with, migrating to, or developing within major cloud environments (AWS, Azure, GCP) and modern cloud data warehouses (Snowflake, BigQuery, or Redshift).
• Data Modeling Methodologies: Practical experience designing Star/Snowflake schemas, handling Slowly Changing Dimensions (SCD), and balancing normalization vs. denormalization.

Remote & Soft Skills

• Legacy Refactoring Mindset: You genuinely enjoy opening up a massive, poorly optimized 500-line legacy stored procedure and refactoring it for maximum efficiency.
• Autonomous Execution: Proven ability to manage your own time, architecture tasks, and deliverables without micromanagement in a fully remote setup.
• Asynchronous Communication: Exceptional written and verbal English communication skills to collaborate seamlessly across time zones.

Nice-to-Haves

• Experience migrating legacy on-premise infrastructure and stored procedures to modern cloud data warehouses.
• Familiarity with workflow orchestration tools like Apache Airflow or Prefect.
• Hands-on experience with dbt (data build tool) for in-warehouse transformations.

About Marseer AI

Marseer AI (www.marseerai.com) is a modular AI activation platform built for DTC and retail e-commerce brands. damStack is Marseer AI's Snowflake-native, dbt-driven data and marketing activation product. It follows a Listen -> Reflect -> React architecture across composable applications, each running inside a customer's own Snowflake data warehouse.

Role Overview

We are looking for a Senior Data Engineer to join the damStack engineering team at Marseer AI. You will design and implement data pipelines, dbt transformation models, and Snowflake-native data products for retail and e-commerce brands. This is a hands-on, high-ownership role across ingestion, transformation, activation workflows, and client onboarding.

What You Will Do

- Design, build, and maintain dbt models across staging, intermediate, and mart layers for customer identity, segmentation, journey orchestration, and activation outputs.

- Implement incremental dbt models, snapshots, and tests to ensure data freshness, accuracy, and reliability.

- Contribute to damStack's Open Schema and unified customer_360 semantic layer.

- Build and refine SQL-based rule engines in Snowflake for priority resolution, frequency capping, and activation orchestration.

- Configure and manage Airbyte connectors for bidirectional data sync such as MongoDB to Snowflake and Snowflake to Klaviyo.

- Build and maintain Dagster pipelines to orchestrate dbt runs, Airbyte sync jobs, and cross-pipeline dependencies.

- Support integration of external marketing platforms into the damStack data layer.

- Work directly with client brands to understand data sources, schemas, and business requirements.

- Translate client data into damStack's standardized activity schema and entity resolution framework.

- Troubleshoot data quality and integration issues in client environments.

- Contribute to single-tenant Snowflake deployments, data quality tests, monitors, alerting, and technical design documentation.

Requirements

- 5+ years of professional experience in data engineering.

- Advanced proficiency in dbt Core or Cloud, including incremental models, snapshots, tests, macros, and multi-layer DAG design.

- Strong hands-on Snowflake experience, including DDL/DML, Snowflake Tasks, query optimization, and multi-tenant data architecture.

- Expert-level SQL, including window functions, CTEs, complex joins, and performance tuning.

- Ability to communicate pipeline designs and technical decisions clearly to technical and non-technical stakeholders.

Strongly Preferred

- Experience with Airbyte or comparable ELT / connector platforms.

- Familiarity with Dagster or similar orchestration tools such as Airflow or Prefect.

- Prior experience in a SaaS or data product company shipping reusable, multi-tenant data infrastructure.

- Understanding of identity resolution patterns, surrogate key architectures, customer data platforms, or experimentation / A/B testing data pipelines.

Good to Have

- Familiarity with Klaviyo or other marketing activation / ESP platforms.

- Experience with MongoDB or document-store integrations.

- Prior experience in retail or e-commerce data domains.

What We Are Looking For

- Availability for US business hours, with at least 5 hours of overlap with America/New_York.

- Ownership mindset, attention to schema naming, test coverage, documentation, and reliable pipelines.

- Collaborative, structured communication with a distributed team.

What We Offer

- Compensation range: INR 20-30 LPA.

- Fully remote role; work from anywhere in India, with Hyderabad-based candidates preferred.

- High-ownership engineering work on Snowflake, dbt, Airbyte, and Dagster.

- Direct exposure to real DTC and retail e-commerce data problems at scale.

- A small, senior team where your contributions are visible.

Job Title : DBA – AWS Aurora PostgreSQL

Experience : 6+ Years

Work Mode : Remote

Laptop Pickup : One-time pickup from Noida, Bengaluru, Pune, Hyderabad, or Chennai

Contract Duration : 6 Months

Job Summary :

We are seeking an experienced AWS Aurora PostgreSQL DBA to manage, optimize, and support enterprise database environments hosted on AWS.

The ideal candidate should have strong expertise in PostgreSQL, AWS RDS/Aurora PostgreSQL, database performance tuning, high availability, disaster recovery, security, and production support.

Key Skills Required :

AWS Aurora PostgreSQL, PostgreSQL DBA, AWS RDS, SQL Performance Tuning, Query Optimization, Indexing, Execution Plan Analysis, High Availability (HA), Disaster Recovery (DR), Multi-AZ, Read Replicas, CloudWatch, Aurora Performance Insights, Backup & Recovery, Database Security, IAM, Audit Logging, Production Support, RCA, Python/Shell/PowerShell Scripting, Terraform/CloudFormation, AWS DMS, CI/CD, Git.

Mandatory Skills :

• 4 to 5+ years of experience in PostgreSQL Database Administration.
• 3 to 5+ years of hands-on experience with AWS RDS and Aurora PostgreSQL.
• Strong SQL expertise, including query optimization, indexing, and execution plan analysis.
• Experience with Aurora clustering, Multi-AZ deployments, read replicas, failover management, backup, and recovery.
• Hands-on experience with AWS CloudWatch and Aurora Performance Insights.
• Strong understanding of database security, encryption, IAM controls, audit logging, and compliance practices.
• Experience in production support, incident management, troubleshooting, and root cause analysis (RCA).
• Scripting/automation experience using Python, Shell Script, or PowerShell.
• Experience with Infrastructure as Code (Terraform or CloudFormation).
• Knowledge of AWS DMS, DevOps practices, CI/CD pipelines, and Git.

Preferred Skills :

• Experience supporting Master Data Governance (MDG) or enterprise data platforms.
• Experience working in healthcare or other highly regulated environments.
• Exposure to AWS services such as Redshift, DynamoDB, and S3.
• AWS Certified Database Specialty or AWS Solutions Architect certification is preferred.

Key Responsibilities :

• Manage and support AWS Aurora PostgreSQL environments, including provisioning, configuration, monitoring, scaling, and maintenance.
• Optimize database performance through query tuning, indexing, and proactive monitoring.
• Implement and maintain high availability, backup, recovery, and disaster recovery solutions.
• Troubleshoot production issues, perform root cause analysis, and ensure database reliability and availability.
• Collaborate with application, cloud, and data engineering teams to support deployments and production releases.
• Automate routine DBA activities and improve operational efficiency using scripting and AWS-native tools.

Qualifications :

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Strong analytical, troubleshooting, and communication skills.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Full Stack Engineer – Spacetil

About Spacetil

Spacetil is a modern financial operations and accounting automation platform that helps businesses streamline bookkeeping, banking integrations, transaction processing, reconciliations, and financial reporting. We are building scalable products that simplify complex financial workflows for customers across multiple geographies.

Role Overview

We are looking for a passionate Full Stack Engineer (1–3 years experience) to join our product engineering team. You will work across the entire technology stack to design, build, and maintain scalable web applications and backend services. This role offers the opportunity to contribute directly to product development, collaborate with cross-functional teams, and solve real-world business challenges.

Responsibilities

• Develop and maintain scalable web applications using modern frontend and backend technologies.
• Design and implement RESTful APIs and backend services.
• Build responsive and intuitive user interfaces using React.js and Tailwind CSS.
• Develop robust server-side applications using Java and Python.
• Write efficient SQL queries and optimize database performance.
• Collaborate with product managers, designers, and fellow engineers to deliver high-quality features.
• Participate in code reviews and contribute to engineering best practices.
• Troubleshoot, debug, and resolve production issues.
• Continuously improve application performance, security, and reliability.

Required Skills

• 1–3 years of experience in full-stack software development.
• Strong proficiency in Java and/or Python.
• Experience with React.js and modern frontend development.
• Good understanding of SQL and relational databases.
• Experience with Tailwind CSS for responsive UI development.
• Understanding of REST APIs, authentication, and web application architecture.
• Familiarity with Git and collaborative development workflows.
• Strong problem-solving and analytical skills.

Preferred Qualifications

• Experience with Spring Boot, PostgreSQL, or similar frameworks/databases.
• Exposure to cloud platforms (AWS, Azure).
• Knowledge of CI/CD pipelines and DevOps practices.
• Experience working with financial, accounting, or fintech products is a plus.

What We Offer

• Opportunity to work on a fast-growing fintech platform.
• Flexible remote-first work environment.
• Ownership of impactful projects and features.
• Collaborative and learning-focused engineering culture.
• Competitive compensation and career growth opportunities.

Location: Remote

Experience: 1–3 Years

Employment Type: Full-Time / Contractual

Skills: Java, Python, SQL, React.js, Tailwind CSS

Join Spacetil and help build the next generation of financial automation solutions.

About the job

Job description

PHP DEVELOPER

Looking for smart candidates who are highly resourceful and innovative in Developing ERP Applications

Should have, working experience in ERP Applications like Finance, Examinations, Fees, Admission, LMS, Lead generation, HR with Leave, and Payroll Management.

JOB REQUIREMENTS

• 2-4 years of experience in PHP and PHP Frameworks.
• Automating the system processes and developing the software products.
• Must be passionate to develop applications in PHP/MY SQL.
• Proficient in ajax ERP product development, PHP, MYSQL, database design, life cycle.
• Should be a quick learner and hardworking

JOB RESPONSIBILITY

• Build, identify and refactor quality features.
• Work productively with the team and feedback as required.
• Involve in a complete System Development Life Cycle.
• Developing ERP Applications and Software Products using Core Object-Oriented using PHP, Laravel, MYSQL, AJAX, Angular 5
• Establish priorities, set objectives, and provide guidance.
• Align properly with the product owners and managers
• Contribute to developing an amazing team.

INTERVIEW PROCESS

• Technical Round - In the technical Round, we will share an assignment as a part of the interview process (wherein we give some instructions and relevant documents to help you in completing the assignment)
• HR Round - Once you are done with the assignment, we would take your profile ahead to the HR Round.

QUALIFICATION

• B.Tech / B.E. Computers OR Diploma

WHATS' IN IT FOR YOU

We offer competitive salaries based on prevailing market rates. In addition to your introductory package, you can expect to receive the following benefits:

• Permanent WFH
• Flexible working hours and leave policy
• Learning and development opportunities
• Health Insurance, PF benefits over and above the salaries

Benefits found in job post

Medical insurance

Requirements added by the job poster

• 2+ years of work experience with PHP

Set alert for similar jobs

Software Engineer, India

Off

Job description:

Role Overview

We are seeking a Senior SQL Developer & ETL Engineer with 5+ years of experience for a 100% remote opportunity.

Please note: This is not a standard Big Data / Infra-heavy Data Engineering role. We are specifically looking for a SQL Specialist. Your core strength must lie in relational database development, schema design, and writing high-performance database logic. Python will be your primary tool for moving and orchestrating data, but SQL and database architecture are the heart of this role.

Key Responsibilities

• Database Architecture & Schema Design: Design, implement, and maintain robust relational database schemas, ensuring optimal data modeling (OLTP and OLAP/Data Warehousing).
• Advanced Database Programmability: Write, debug, and optimize complex Stored Procedures, Functions, Triggers, and Views to handle core business logic at the database level.
• Performance Tuning & Indexing: Analyze query execution plans, identify bottlenecks, and implement advanced indexing strategies, partitioning, and query refactoring to ensure sub-second response times.
• Python ETL/ELT Pipelines: Develop, schedule, and maintain scalable data ingestion and transformation pipelines using Python to connect disparate data sources.
• Data Integrity & Governance: Establish constraints, data validation routines, and automated quality checks to guarantee absolute data accuracy.

Required Technical Skills

• Expert-Level SQL & DB Programmability (5+ Years): Mastery of writing complex queries (CTEs, Window Functions, Analytical queries) and server-side logic (Stored Procedures/Functions) in platforms like PostgreSQL, SQL Server, Oracle, or MySQL.
• Advanced Database Optimization: Deep understanding of how databases work under the hood—specifically indexing (B-Tree, Hash, Clustered/Non-Clustered), execution plans, statistics, and locking/concurrency mechanisms.
• Python for Data Ingestion (3+ Years): Proficient in writing clean, modular Python scripts for data manipulation, API integration, and ETL processing (using libraries like Pandas, SQLAlchemy, or custom database connectors).
• Data Modeling Methodologies: Practical experience designing Star/Snowflake schemas, Normalization (3NF), and handling Slowly Changing Dimensions (SCD).

Remote & Soft Skills

• Autonomous Execution: Proven ability to manage your own time, architecture tasks, and deliverables without micromanagement.
• Asynchronous Communication: Exceptional written and verbal English communication skills to collaborate seamlessly across time zones.
• Legacy Refactoring Mindset: You enjoy opening up a massive, poorly optimized 500-line stored procedure and refactoring it for 10x performance.

Nice-to-Haves

• Experience migrating legacy on-premise stored procedures to modern cloud data warehouses (Snowflake, BigQuery, Redshift).
• Familiarity with workflow orchestration tools like Apache Airflow or Prefect.
• Experience with dbt (data build tool).

Work Location: Remote

Lead Data Scientist

Experience : 8+ Years

Location: Remote

Must Have Skills- Forecasting, Git, Classification, Code_Templates Regression, Python, SQL

Technical Leadership: Define the data science roadmap and technical standards for the team.

Oversee the end-to-end lifecycle of ML models, from research to production.

Generative AI & LLMs: Lead the integration of Large Language Models (LLMs) and Agentic workflows into company products, focusing on fine-tuning, RAG (Retrieval-Augmented Generation), and cost-optimization.

Strategic Alignment: Partner with Product, Engineering, and Business leads to identify high-impact opportunities for predictive analytics and automation.

Mentorship: Foster a culture of excellence by mentoring junior and senior scientists, conducting peer reviews, and promoting continuous learning.

MLOps & Scalability: Ensure models are robust, interpretable, and scalable by collaborating with ML Engineers to implement CI/CD for ML (MLOps).

Data Governance & Ethics: Champion data privacy and ethical AI practices, ensuring models are free from bias and compliant with evolving global regulations

Role Overview

We are seeking a hands-on technology POD Lead who blends engineering excellence with statistical rigor and business acumen to drive end-to-end product delivery in an agile, data-driven environment. The ideal candidate will lead a multidisciplinary team of BI developers, data engineers, ML practitioners, and product analysts to accelerate business growth through scalable, AI-enabled products, econometric models and intelligent insights.

This role sits at the intersection of engineering, analytics, econometrics, MLOps and growth strategy, requiring a balance of technical depth, stakeholder engagement, and agile execution.

Key Responsibilities

1. Leadership & Delivery

• Lead a cross-functional pod of data engineers, BI developers, statisticians and machine learning engineers to deliver AI-powered products and analytics solutions.
• Translate strategic goals into data science roadmaps executed in agile sprints, ensuring measurable business outcomes for every release.
• Foster a culture of experimentation, accountability, and rapid iteration across data, AI, and product workstreams.

2. Product & Business Integration

• Partner with business stakeholders across Sales, Marketing, Finance, and Operations to identify high-impact use cases such as churn prediction, growth forecasting, pricing optimization, causal impact analysis or next-best-action recommendations.
• Drive the roadmap for analytical and econometric product capabilities (e.g., predictive dashboards, personalization engines, time-series forecasting, and more).
• Ensure all solutions are aligned with enterprise data strategy, governance, MLOps lifecycle and security standards.

3. Technical Execution

• Collaborate with ML engineers to productionalize models using Databricks, MLflow, Azure ML, or equivalent CI/CD MLOps frameworks.
• Guide teams on feature engineering, model selection, hyperparameter tuning, and validation for statistical and machine learning models.
• Encourage adoption of reusable data assets, API-based integrations, and modular code frameworks.
• Oversee econometric modeling, causal inference studies, and time-series forecasting for business-critical decision-making.
• Champion model lifecycle management, including version control, retraining pipelines, and performance drift monitoring.

4. Business Intelligence & Data Storytelling

• Supervise the creation of advanced BI dashboards and insight layers powered by predictive and generative AI.
• Translate complex statistical outputs into actionable business narratives for executive decision-making.
• Champion KPI alignment and measurement frameworks, ensuring analytics deliver quantifiable value to revenue, growth, retention, and operational efficiency metrics.

5. Agile Program Management

• Manage sprint planning, backlog prioritization, and resource allocation across concurrent projects.
• Track velocity, quality metrics, and ROI impact for each product stream.
• Coach teams on agile best practices and outcome-oriented delivery.

Qualifications

Required

• 10+ years of total experience with at least 3 years in a tech lead capacity.
• Proven expertise in Python, SQL, statistical modeling (e.g., regression, time-series, causal inference) and one or more of Power BI, Tableau, MicroStrategy.
• Strong foundation in data engineering, cloud architecture (Azure/AWS/GCP), and ML model deployment.
• Experience leading cross-functional agile teams with engineers, analysts, and data scientists.
• Excellent communication and stakeholder management skills — capable of simplifying complex data stories for business leaders.

Preferred

• Experience in forecasting models, econometrics, and experimental design (A/B testing, uplift modeling).
• Exposure to MLOps tools (MLflow, Kubeflow, Airflow, Azure ML pipelines) and monitoring frameworks for models in production.
• Familiarity with agentic AI, LLM-based product development, or generative analytics use cases.
• Prior experience building analytics or AI solutions in B2B, SaaS, or digital transformation contexts.
• Certifications in Agile, Cloud (Azure ML, AWS Data Analytics), or Data Science specialization are a plus.

Key Traits

• Hands-on technologist who can code, review, and guide with empathy.
• Strategic thinker who connects product vision with execution.
• Comfortable operating in ambiguity and scaling solutions from POC to enterprise rollout.
• Passionate about mentoring teams and embedding a data-first, growth-oriented mindset.

Company Description

VDart is a global leader in digital solutions, product development, and professional services. Headquartered in Atlanta, GA, USA, the company has a robust global presence across North America, Europe, the Middle East, and Asia. VDart Digital specializes in delivering cutting-edge digital transformation solutions, leveraging technologies like AI/ML, blockchain, cloud computing, IoT, and data analytics. Its innovative product portfolio includes offerings such as TestSamurAI, LendSmartAI, IDocLens, and more, which are designed to optimize operations and drive business growth.

Role Description

We are looking for a seasoned data leader to design, build, and own enterprise-scale data platforms on Azure. This role goes beyond development — it requires end-to-end accountability for architecture, data pipelines, transformation frameworks, and production readiness.

You will act as the critical link between business stakeholders, data engineering teams, and analytics functions, ensuring scalable and high-performance data solutions are delivered and maintained.

Key Responsibilities:

• Design and implement robust data pipelines using Azure Data Factory (ADF), including integration with REST APIs and external data sources
• Build scalable data transformation workflows using Databricks (PySpark), handling complex and nested JSON datasets
• Architect and implement Delta Lake-based data platforms, including fact and dimension models (star schema)
• Define and enforce best practices for data modeling, performance optimization, and cost efficiency
• Own end-to-end data platform lifecycle — from architecture and deployment to monitoring and operational support
• Establish production readiness frameworks, including logging, alerting, and data quality checks
• Collaborate closely with business and analytics teams to translate requirements into scalable technical solutions
• Mentor engineering teams and drive architectural governance across projects 

Required Experience & Skills:

•                Experience building pipelines with Azure Data Factory 

•                Experience connecting to REST API sources using Azure Data Factory 

•                Experience building transformations with Databricks using PySpark 

•                Experience handling complex nested JSON files using PySpark 

•                Experience designing dimensional models/star schema 

•                Experience implementing facts and dimension tables in Databricks Delta Lake 

•                Around 15-20 years of solid experience in building, managing, and optimizing enterprise data platforms with at least 5 years in Azure cloud data services

•                Act as a bridge between business, data engineering, and analytics teams to ensure requirements are clearly understood and implemented correctly

•                Own end-to-end production readiness of the data platform, including architectural design, deployment patterns, monitoring strategy and operational support.

Company Description

Eassy Onboard LLP is a team of Databricks Certified Data Engineers committed to empowering businesses through data-driven solutions. Specializing in automated workflows, scalable architectures, optimized data pipelines, and AI solutions, we help organizations reduce manual effort, optimize costs, and achieve reliable insights. We ensure secure data operations with robust validation processes and strong data integrity. As an Employer of Record (EOR), we assist global companies in hiring top Indian talent, managing payroll, compliance, and regulatory requirements. Our mission is to accelerate enterprise transformation and enable companies to build future-ready, compliant teams.

Role Description

We are seeking a Senior Data Engineer with deep expertise in Spark/PySpark/SQL to join our data team.

This is a hands-on technical role for someone passionate about building scalable data systems, mentoring engineers, and shaping data strategy.

You will architect systems that power high-performance data processing, enable advanced analytics, and accelerate AI initiatives.

What You'll Do

• Design and evolve scalable, distributed data infrastructure across cloud platforms including GCP and AWS.
• Build and maintain real-time and batch data processing pipelines supporting AI/ML workloads, consumer applications, and analytics.
• Develop and manage integrations with third-party e-commerce platforms to expand the data ecosystem.
• Ensure data availability, reliability, and quality through monitoring and automated auditing.
• Partner with engineering, AI, and product teams on data solutions for business-critical needs.
• Mentor and support data engineers, establishing best practices and code quality standards.

Qualifications

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of software development and data engineering experience with ownership of production-grade data infrastructure.
• Deep expertise scaling Spark, PySpark, and SQL in production, including Databricks or DataProc on GCP.
• Strong understanding of distributed computing and modern data modeling for scalable systems.
• Proficient in Python with experience implementing software engineering best practices.
• Hands-on experience with both relational and NoSQL systems including MySQL, MongoDB, and Elasticsearch.
• Strong communicator with experience influencing cross-functional stakeholders.

Nice to Have

• Experience with job orchestration and containerization tools such as Airflow and Docker.
• Experience working with vector stores and knowledge graphs.
• Experience working in early-stage, high-growth environments.
• Familiarity with MLOps pipelines and integrating ML models into data workflows.
• A proactive, problem-solving mindset with a passion for innovative solutions.

About Us

Pearl is AI for professional services at global scale—combining advanced AI with verified human expertise to deliver help that’s accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere.

Our Values

• Data driven: Data decides, not egos
• Courageous: We take risks and challenge the status quo
• Innovative: We're constantly learning, creating, and adapting
• Lean: We focus on customers, using lean testing to learn how to serve them best
• Humble: Past success is not a guarantee of future success

About the Role

As a Senior Analyst at Pearl, you will be a Subject Matter Expert (SME) in the professional services domain, driving long-term growth and leveraging the latest technologies and methodologies.

In this role, you will drive tangible business impact by delivering high-quality insights and recommendations that are grounded in your ability to combine strategic thinking and problem-solving with detailed analysis. This position offers a unique opportunity to collaborate closely with Product Managers and cross-functional teams, uncovering valuable business insights, devising optimization strategies, and validating them through experiments.

What You’ll Do

• Collaborate with Product and Analytics leadership to conceive and structure analysis and deliver highly actionable insights from “deep dives” into specific areas of our business
• Conduct analysis of a tremendous amount of internal & external data to find growth & optimization opportunities for the business
• Package and communicate findings and recommendations to a broad audience (including senior leadership)
• Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), build Reporting for understanding trends
• Implement and track business metrics that will help drive the business
• Help determine growth strategy from a marketing and operations perspective
• Responsible/Opportunity to operate in an individual capacity as a lead analyst to understand the customer and guide informed strategic decisions & executions

What We’re Looking For

• 7+ years of experience in e-commerce/customer experience products
• Proficiency in analysis and business modeling using Excel
• Experience with Google Analytics, BigQuery, PowerBI, and Python ./ R would be a plus
• Experience with SQL with a strong ability to write complex queries to extract information and arrive at an answer
• Expertise in Descriptive Statistical Analysis, Inferential Statistical Analysis
• Strong experience in setting up and driving A/B Testing or Hypothesis Testing and analyzing the results
• Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills
• Ability to communicate effectively with all levels of management and partners from a variety of business functions
• Advanced English level

Our Commitment to an Inclusive Workplace

We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.

AI Disclosure & Informed Consent

Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy.