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🚀 Job Title : Data Engineer – AWS, PySpark & Airflow

Experience : 5+ Years

Industry : Health Insurance / BFSI

Location : Sector 43, Gurugram, Haryana

Work Mode : Work From Office (5 Days a Week)

Employment Type : Full-Time

Role Overview :

We are looking for an experienced Data Engineer with strong hands-on expertise in AWS Data Engineering, Data Lake Architecture, Python, SQL, PySpark, and Apache Airflow.

The candidate will be responsible for designing, developing, and maintaining scalable, reliable, and high-performance data pipelines using AWS cloud technologies. The role involves building end-to-end ETL / ELT workflows, implementing data transformation and processing solutions, optimizing pipeline performance, and ensuring the reliability of production data systems.

Mandatory Skills :

AWS Data Engineering | Data Lake Architecture | Amazon S3 | AWS Glue | Amazon EMR | Athena | Redshift | Python | SQL | PySpark | Apache Spark | Apache Airflow | ETL/ELT | PostgreSQL | Data Modelling | Pipeline Optimization | Production Support | Root Cause Analysis

Key Responsibilities :

• Design, develop, and maintain end-to-end data pipelines for data ingestion, staging, transformation, curation, and consumption.
• Build and manage AWS-based data lake solutions using Amazon S3, AWS Glue, Amazon EMR, Athena, and Redshift.
• Develop, maintain, and optimize ETL / ELT pipelines using Python, SQL, Apache Spark, and PySpark.
• Implement and manage workflow orchestration using Apache Airflow, including scheduling, dependency management, retries, monitoring, and failure handling.
• Integrate data from multiple structured and semi-structured sources.
• Design and maintain data models, dimensional models, and analytical data marts.
• Work with relational databases, including PostgreSQL and Amazon RDS.
• Optimize Spark jobs, SQL queries, data transformations, and cloud resource utilization.
• Implement data quality checks, validation rules, and error-handling mechanisms.
• Monitor production data pipelines, troubleshoot failures, and perform root cause analysis (RCA).
• Ensure pipeline reliability, scalability, performance, and compliance with service-level agreements (SLAs).
• Follow data security, access management, governance, and sensitive-data protection best practices.
• Collaborate with business, analytics, and application teams to deliver effective data solutions.
• Maintain technical documentation and follow established data engineering standards.

Required Technical Skills :

• AWS Data Engineering : Strong hands-on experience with AWS-based data engineering and data lake architecture.
• AWS Services : Amazon S3, AWS Glue, Glue Data Catalog, Amazon EMR, Athena, Redshift, AWS Lambda, and IAM.
• Programming : Strong proficiency in Python and SQL.
• Big Data Processing : Hands-on experience with Apache Spark and PySpark.
• Workflow Orchestration : Experience developing and managing workflows using Apache Airflow.
• ETL/ELT Development : Experience building scalable data ingestion, transformation, and processing pipelines.
• Database Technologies : Good understanding of relational databases and PostgreSQL concepts.
• Data Modelling : Experience with data modelling, data transformation, and analytical data structures.
• Production Support : Ability to monitor pipelines, troubleshoot failures, perform RCA, and resolve production issues.
• Performance Optimization : Experience optimizing SQL queries, Spark jobs, and data processing workflows.

Good-to-Have Skills :

• Experience with AWS Database Migration Service (DMS) and Amazon RDS.
• Familiarity with dbt for data transformation and modelling.
• Knowledge of Delta Lake, Apache Iceberg, or Apache Hudi.
• Exposure to Apache Kafka and real-time data streaming.
• Familiarity with GraphQL, Hasura, or similar data-serving technologies.
• Understanding of data governance and data quality frameworks.
• Experience in the BFSI, healthcare, or health insurance domain.

Candidate Requirements :

• 5+ years of relevant experience in Data Engineering.
• Proven hands-on experience building and maintaining production-grade data pipelines on AWS.
• Strong understanding of data lake architecture and large-scale data processing.
• Practical experience with Apache Airflow and Spark / PySpark-based transformations.
• Strong programming, analytical, debugging, and problem-solving skills.
• Experience handling production incidents, pipeline failures, and performance bottlenecks.
• Ability to take ownership of deliverables and work effectively with cross-functional teams.
• Good communication, collaboration, and technical documentation skills.
• Willingness to work from the Gurugram office five days a week.

Ideal Candidate :

The ideal candidate is a hands-on Data Engineer who can independently build, optimize, and maintain AWS-based data pipelines, work with large datasets using PySpark, orchestrate workflows through Airflow, and resolve production issues in a business-critical environment.

About the role

We are hiring a Principal Engineer to own the hardest technical problems in our product and see them through from first sketch to stable production. You will set technical direction, design systems that scale, and raise the engineering bar through your own work and the people around you. This is a hands-on leadership role: you write code, review designs, and ship.

What will you do?

You will own outcomes, not just tasks. Expect to spend your time on the following.

• Own projects end to end. Take an ambiguous problem, shape the requirements, design the solution, break down the work, deliver it to production, and stay accountable for how it runs afterwards.

• Lead system design. Author and review architecture for services, data pipelines and integrations, with clear trade-offs on scale, latency, cost, consistency and reliability.

• Write and review critical code. Build the hardest components yourself, and set standards for code quality, testing and maintainability through code and design reviews.

• Own deployment and operations. Design CI/CD, infrastructure and release strategies. Drive observability, on-call readiness, incident response and post-incident learning.

• Solve hard problems. Debug production issues across the stack, and find root causes in performance, concurrency, data and scaling problems.

• Mentor and multiply. Coach senior and junior engineers, grow future tech leads, and make the whole team faster and more confident.

• Partner across functions. Work with product, design, data and business teams to turn goals into technical plans, and to say no or reshape scope when needed.

• Shape technical strategy. Guide build-versus-buy decisions, manage tech debt, evaluate new technologies, and contribute to the engineering roadmap.

• Raise the bar. Help define engineering practices, hiring standards and culture, and take part in interviewing.

What are we looking for?

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.

Core engineering

• 10+ years of professional software engineering, with a track record of shipping and running production systems.

• Strong computer science fundamentals: data structures, algorithms and complexity, operating systems, networking, databases and concurrency.

• Fluency in at least one major backend language (for example Python, Go, Java, or Node.js/ TypeScript) and the ability to pick up others quickly.

• Deep knowledge of relational and NoSQL data stores: schema design, indexing, transactions, query tuning and replication.

System design and problem solving

• Proven ability to design distributed systems that are scalable, fault tolerant and cost aware, and to explain the trade-offs clearly.

• Experience with APIs, event-driven and asynchronous architectures, queues, caching and service-to-service communication.

• A structured approach to ambiguous problems: break them down, test assumptions, decide with incomplete data, and measure results.

• Strong debugging instincts, including performance profiling and production troubleshooting.

Delivery and operations

• Have led at least two significant projects from inception to production, including planning, milestones, risk management and launch.

• Hands-on experience with deployment: CI/CD pipelines, containers (Docker, Kubernetes), a major cloud (AWS, GCP or Azure), and infrastructure as code.

• Practical experience with monitoring, logging, alerting, SLOs and incident management.

• Habit of writing tests and automation, and of leaving systems more reliable than you found them.

Leadership and communication

• Experience leading engineers without formal authority, through influence, mentoring and clear technical writing.

• Excellent written and verbal communication: design docs, RFCs and concise updates to non-technical stakeholders.

• Ownership mindset, sound judgment on priorities, and comfort working in a fast-moving environment.

Nice to have

• Experience in fintech, lending or another regulated, data-heavy domain.

• Exposure to AI/ML or LLM-based systems in production: model serving, evaluation, retrieval, and cost and latency management.

• Deep experience with data engineering: streaming, batch pipelines, warehouses or search systems.

• Security and compliance awareness: authentication, encryption, audit trails, secure SDLC.

• Experience with multi-tenant SaaS, high-throughput systems or zero downtime migrations.

• Open-source contributions, conference talks, or technical writing.

• Experience scaling an engineering team or helping set up hiring and onboarding practices.

We are looking for a talented .NET Software Engineer to join our growing team and help us build smart, scalable technology solutions that streamline and automate complex business operations. In this role, you’ll work in a collaborative, agile environment where continuous improvement, ownership, and innovation are part of our everyday culture.

If you enjoy solving real business challenges through clean architecture and high-quality code, this is an opportunity to make a direct impact on the performance and efficiency of the systems our clients rely on. Join us and help shape the technology behind smarter, better-optimized workflows.

What You’ll Be Doing:

• Develop, integrate, and test complex enterprise-level applications that support critical business processes.
• Collaborate with developers, architects, and product teams to refine requirements and translate them into scalable technical solutions.
• Troubleshoot and enhance system architecture, identifying and resolving performance or reliability bottlenecks.
• Implement and advocate for best practices in coding standards, system design, testing, security, and maintainability.
• Review code and pull requests to ensure alignment with specifications and overall product quality.
• Participate in agile ceremonies, manage deliverables, and consistently meet development timelines.

What We’re Looking For:

• Proven proficiency in C#/.NET and experience building enterprise applications.
• Strong hands-on experience with MySQL, SQL databases, and advanced querying techniques.
• Familiarity with Angular or other modern front-end frameworks (nice to have).
• Solid understanding of version control, CI/CD pipelines, automated testing, and agile development tools such as Git and Jira.
• Experience working with finance or accounting systems is a strong advantage.
• Ability to write clean, maintainable, and well-documented code with a focus on performance and scalability.
• Strong written and verbal communication skills in English (upper-intermediate level or higher).
• A proactive, resourceful, and solution-oriented mindset — someone who takes ownership and delivers results.
• A degree in Computer Science, Software Engineering, or a related field is a plus.

Strong Data Analyst Profile with Python, SQL, and data-pipeline expertise, ideally with retail / e-commerce datasets

2

Mandatory (Experience 1): Must have 4+ years of hands-on data-analyst experience, working with large datasets across areas such as sales, inventory, pricing, promotions, and customer behaviour.

3

Mandatory (Tech skill 1): Must have strong hands-on Python for data processing, transformation, automation, and analysis

4

Mandatory (Tech skill 2): Must have strong SQL skills, including complex queries, joins, aggregations, and data validation.

5

Mandatory (Tech skill 3): Must have a solid understanding of Data Lake architecture, ingestion, storage, and processing workflows

6

Mandatory (Tech skill 4): Must have hands-on experience with ETL / ELT pipelines, data integration, and transformation

7

Mandatory (Tech skill 5): Must have experience with Azure or GCP data services.

8

Mandatory (Tech skill 6): Must have understanding of or experience with Databricks and distributed data processing.

9

Mandatory (Tech skill 7): Must have knowledge of data modeling, data warehousing, and Lakehouse architecture

10

Mandatory (Tech skill 8): Must have experience with Power BI, Tableau, or Excel for reporting.

11

Mandatory (Communication): Must have strong analytical, documentation, and stakeholder-communication skills.

12

Mandatory (Education): Must hold a Bachelor’s degree in Computer Science, IT, Engineering, or a related field.

13

Mandatory (Note1): This is a 6-month contract role. Candidate must be comfortable with the contract engagement and able to join immediately (urgent — onboarding within ~a week)

Job Summary:

We are looking for an experienced Application Support & Observability Engineer with strong expertise in L2 Application Support, Linux, SQL, ITIL processes, and shell scripting. The candidate should have hands-on experience with monitoring and observability tools, production troubleshooting, deployment activities, and job scheduling. Banking domain experience is mandatory.

Primary Skills:

• L2 Application Support / Production Support
• Linux Administration and Troubleshooting
• SQL
• ITIL Processes and Incident Management
• Shell Scripting and Automation
• Observability and Monitoring Tools: Grafana, Datadog, Prometheus, Control-M
• Production Troubleshooting and Root Cause Analysis
• Deployment Support and Job Scheduling
• Middleware Technologies: Apache, Tomcat

Job Responsibilities:

• Provide L2 application and production support for banking applications.
• Monitor application performance, system health, and production environments using observability tools.
• Troubleshoot application, Linux, database, and production-related issues and ensure timely resolution.
• Perform log analysis, incident investigation, and root cause analysis.
• Work with monitoring tools such as Grafana, Datadog, Prometheus, and Control-M to identify and resolve issues.
• Execute deployment activities and support release management.
• Monitor and manage scheduled jobs and batch processes using job scheduling tools.
• Develop and maintain shell scripts to automate routine operational tasks.
• Support middleware technologies such as Apache and Tomcat.
• Follow ITIL processes for incident, problem, and change management.
• Coordinate with application, infrastructure, and development teams to maintain system availability and stability.
• Ensure adherence to SLAs and provide effective communication during production incidents.

Required Skills:

• 5–6 years of relevant experience in Application Support and Observability.
• Strong hands-on experience in L2 Production Support.
• Good knowledge of Linux, SQL, ITIL, and Shell Scripting.
• Experience with one or more monitoring tools such as Grafana, Datadog, Prometheus, or Control-M.
• Experience in troubleshooting, deployment support, and job scheduling.
• Knowledge of Apache and Tomcat middleware.
• Banking domain experience is mandatory.
• Excellent verbal and written communication skills.

GCP Data engineer

Exp 9+yrs

Bangalore/Hyderabad

Lead exp+ Python + pyspark + sql or plsql

immediate to 15days joiners

Call or WhatsApp: 6 3 8 5 0 7 6 1 4 2

About the company

We are an AI diffusion company. We partner with midmarket companies in asset-heavy, regulated industries to co-build deeply industry-specific agentic and machine learning solutions, which then get diffused across the industry through revenue-share and equity-linked models.

Our Past

We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Team

Our team of 20+ employees consists of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH. Our team includes academicians, IBM Research Fellows, and former founders. This role focuses on healthcare and RCM, working alongside our AI/ML engineers, data scientists and domain specialists.

Work you’ll do

We are looking for an experienced Project Manager cum Lead to own product decisions and project delivery for our healthcare AI pod. You will lead engineers building AI agents, automations and data workflows for healthcare revenue cycle management, while remaining hands-on in solution design, code reviews, prototyping and technical problem-solving.

You will work directly with client CXOs, billing leaders and operations teams to identify problems, agree measurable outcomes and decide what to build first.

You will translate those decisions into a practical roadmap, manage delivery and remain accountable for adoption and performance in production.

The work includes payer-portal automation, claim status and document retrieval, voice-based payer follow-up, analysis of revenue-cycle bottlenecks and AI-assisted practice insights.

Responsibilities

• Lead the healthcare AI pod, setting technical direction, reviewing engineering work, mentoring engineers and resolving delivery blockers.
• Work with client CXOs and operational leaders to define business problems, establish baselines and agree measurable outcomes.
• Own product discovery and prioritization, translating user needs into a roadmap, requirements and clear acceptance criteria.
• Make solution and build-versus-buy decisions, choosing between APIs, rules-based automation, RPA and AI based on reliability, cost and business value.
• Stay hands-on through architecture and code reviews, targeted prototypes and troubleshooting of complex production issues.
• Own project scope, estimates, milestones, resources and dependencies. Manage changes and explain their impact on cost, timelines and outcomes.
• Lead executive reviews, communicate progress and risks clearly, and secure decisions needed to keep delivery moving.
• Establish evaluation, security and release criteria, including monitoring, exception handling and human escalation.
• Work with billing and operations teams through rollout, adoption and ongoing improvement, measuring results against agreed baselines.
• Identify capabilities that can be reused across engagements and incorporate them into the product roadmap.

Who you are

You are an engineering leader who remains close to the code and takes responsibility for what the team delivers. You can investigate a technical issue with an engineer, make a product prioritization decision with an operations leader and explain the trade-offs to a client executive. You bring structure to unclear problems, make decisions with incomplete information and know when to challenge a request or change direction. You balance delivery speed with reliability, security and maintainability, and support your decisions with evidence. You have led teams through production delivery, handled difficult stakeholder conversations and stayed accountable for adoption and business outcomes after launch.

Skills & Requirements

Must have

• At least 7 years of relevant engineering and technical leadership experience, with recent hands-on involvement in solution design, code reviews, prototyping and production troubleshooting.
• Experience leading engineering teams delivering AI or automation systems into live operations, with accountability for technical quality, delivery and business outcomes.
• Experience deploying and supporting LLM-based applications or AI agents, including retrieval, tool calling, evaluation, error handling and human escalation.
• Strong Python and SQL skills, with the ability to review code, assess API and data integrations, and guide browser or workflow automation using tools such as Playwright, Selenium or UiPath.
• Experience delivering applications on at least one cloud platform—AWS, Azure or GCP—with an understanding of containers, deployment pipelines, monitoring and operating costs.
• Experience making product decisions, including discovering user needs, prioritizing workflows, defining acceptance criteria and balancing client-specific requirements against reusable capabilities.
• Experience managing client engagements from discovery through deployment and adoption, including scope, estimates, resource planning, dependencies and recovery of projects that have gone off track.
• Experience working directly with CXOs and senior operational leaders to agree outcomes, explain trade-offs, resolve conflicting priorities and manage expectations.
• Experience delivering healthcare or RCM solutions, with practical understanding of billing workflows, data quality issues and operational exceptions.
• Experience handling sensitive healthcare data and incorporating access controls, secure logging and approved data-handling practices into delivery.
• Ability to demonstrate your own technical contribution, a significant product decision and measurable outcomes from an engagement you led.

Preferred experience

• Experience delivering solutions for US healthcare providers or RCM companies, including working with US billing teams and payer workflows.
• Experience with practice-management or EHR integrations, payer portals, EOB/ERA data or analysis of revenue-cycle performance.
• Experience turning capabilities developed for individual clients into reusable products.
• Experience hiring and developing engineering teams.
• Experience managing delivery budgets, engagement profitability or a practice P&L.

Working with us

We are a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundaryless.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

Responsibilities:

• Add a new feature to existing infrastructure platforms.
• Collaborate across teams and lead technical discussions with clients and internal teams.
• Mentor junior team members through mob-pairing/1:1 pairing sessions.
• Adapt to different roles and technologies as project needs evolve.
• Proactive mindset with excellent client communication, collaboration, and writing skills.
• Use methodologies like Agile and Lean to manage projects and deliverables.
• Document technical solutions and knowledge for team reference.
• Stay current with industry trends and emerging technologies.

Requirements:

• Experience with managing large-scale infrastructure systems.
• Experience as a reliability engineer is good.
• Proficiency in at least one programming language.
• Good understanding of software delivery principles.
• Ability to adapt to different roles and technologies when needed

Required Technical Skills:

• You have spent some time building software systems or self-service systems for internal teams.
• You have a good understanding of Linux, software-defined, and cloud networking.
• You have work experience in configuration management and using tools like Ansible and Chef.
• You must have a good understanding of continuous integration and continuous delivery concepts, not just tools.
• Experience with tools like Jenkins, GitHub Actions, GitLab CI, etc. is required.
• It would be a plus if you have worked with GitOps tools like Argo CD or Flux CD.
• You are familiar with the cloud-native ecosystem and tools like Prometheus, OpenTelemetry, and Envoy.
• In-depth understanding of containers and container orchestrators like Nomad, Kubernetes, etc.
• You should deeply understand managing and organizing infrastructure as code and have worked with tools such as Terraform, Pulumi, CloudFormation, and AWS CDK.
• You are familiar with at least one primary cloud provider, such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
• You understand observability well and can collaborate with dev teams to improve their observability systems.
• You have a good understanding of the principles of distributed systems.
• You understand how SQL and NoSQL databases work and what is needed to manage them.
• You have familiarity with basic cloud security.

About the company

We are an AI-powered media intelligence platform that transforms video and audio archives into searchable, reusable and monetizable assets.

The platform combines media processing, search, multimodal AI and large-scale content understanding to help users discover meaningful moments within vast media libraries. We are an early-stage startup where engineers work across disciplines and contribute directly to

products used by customers.

Role Overview

We are looking for an Assistant Software Engineer who wants to grow rapidly across backend engineering, AI integration, media processing and platform operations.

You will work closely with the AI, platform and product engineers to build the supporting systems that make our AI capabilities usable, testable and reliable. You will help bridge the gap between models, services, data and product workflows while learning from experienced engineers across multiple disciplines.

What You Will Work On

AI Operations & Evaluation (Approx. 50%)

• Integrate AI services into backend workflows.
• Validate AI outputs against expected results.
• Build scripts and tools for evaluation and testing.
• Maintain datasets used to assess model quality.
• Support retrieval and search workflows.
• Investigate incorrect or unexpected AI outputs.

Media & Data Processing (Approx. 35%)

• Develop and maintain media-processing jobs.
• Support subtitle, transcript and metadata pipelines.
• Process and validate structured AI outputs.
• Assist with data preparation and annotation workflows.
• Build automation around ingestion and content processing.

Platform & Engineering Operations (Approx. 15%)

• Support deployment and monitoring workflows.
• Maintain development environments and internal tools.
• Assist with CI/CD automation.
• Help improve observability and operational dashboards.
• Support troubleshooting and production investigations.

What Success Looks Like

Within your first six months:

• AI evaluation workflows are easier to run and maintain.
• Model outputs can be tested and verified consistently.
• Media-processing jobs are reliable and observable.
• Engineering teams spend less time on repetitive operational tasks.
• Documentation and internal tooling improve team productivity.

Requirements

Must Have

• Good knowledge of Python.
• Experience building meaningful personal, academic or professional software projects.
• Understanding of REST APIs and JSON.
• Working knowledge of SQL and relational databases.
• Familiarity with Git and Linux.
• Ability to debug issues systematically.
• Strong curiosity and willingness to learn unfamiliar technologies.
• Good written and verbal communication skills.

Nice to Have

• FastAPI or Flask.
• PostgreSQL.
• Docker.
• Background workers or asynchronous processing.
• Computer vision, LLMs or AI APIs.
• Vector search, embeddings or RAG.
• FFmpeg or media-processing tools.
• AWS, Azure or GCP.
• JavaScript or TypeScript.
• CI/CD tooling.

We Value

• Curiosity over credentials.
• Ownership over job titles.
• Learning over knowing everything.
• Engineers who ask good questions.
• Engineers who can explain how things work.
• People who are comfortable working across multiple disciplines.

Why Join Us

• Work directly with experienced AI, platform and product engineers.
• Gain exposure to media AI, search and retrieval systems.
• Build real production systems from an early stage.
• Grow into backend, AI, platform or full-stack engineering paths.
• Help shape a product from its earliest stages.

Laravel Developer – Education ERP

Experience: 2 years

Work Mode: Permanent Work From Home

Job Summary

We are looking for an experienced Laravel Developer with strong expertise in Core PHP, Laravel, and MySQL to develop, maintain, and optimize scalable Education ERP applications.

Key Responsibilities

• Develop and maintain ERP modules such as HRMS, Admissions, Fees, Examinations, LMS, Inventory, and Finance.
• Write clean, secure, and efficient code using Laravel and Core PHP.
• Design and optimize MySQL databases, complex SQL queries, and bulk data processing.
• Develop and integrate REST APIs and third-party services.
• Troubleshoot bugs and optimize application performance.
• Collaborate with the team to deliver scalable and reliable ERP solutions.

Required Skills

• Strong knowledge of Laravel, Core PHP, and MySQL.
• Experience with MVC architecture, Eloquent ORM, CRUD operations, and REST APIs.
• Good understanding of SQL joins, database optimization, HTML, CSS, JavaScript, and jQuery.
• Familiarity with Git/GitHub and web application security.

Preferred Experience

• Experience developing Education ERP or university management software.
• Knowledge of HRMS, Fees, Admissions, Examinations, and LMS modules.
• Experience handling large datasets and enterprise applications.

TEAM LEAD – BACKEND / FULL STACK ENGINEER (FINTECH)

Impacto Digifin Technologies Pvt. Ltd.

Bangalore (Brookefield) | Work from Office | Full-Time

Job Location

Bangalore (Brookefield) – Work from Office

Experience

3–5 Years

Employment Type

Full-Time

Department

Engineering / Product Development

Document Date

21 October 2026

Role Overview

We are hiring a hands-on Team Lead to design, build, and run the backend of our digital banking and payments products. You will lead a small team building Java and Spring Boot microservices, Apache Kafka event pipelines, and PostgreSQL data models that move real money for banks and their customers.

The role is backend-first, with full stack ownership: you will also guide ReactJS and Next.js frontends that sit on top of these services. You will own the full lifecycle, from requirement analysis and system design to production deployment, monitoring, and 24x7 support.

We want someone who treats correctness, auditability, and uptime as product features.

Key Responsibilities

A. Backend and Microservices Development

·   Design and build scalable, high-performance backend services using Java and Spring Boot.

·   Design and implement RESTful APIs, microservices, and third-party integrations with clear, versioned API contracts.

·   Implement authentication, authorization, input validation, and secure coding practices across all services.

·   Write clean, maintainable, and testable code, backed by unit, integration, and API tests.

B. Event-Driven Architecture with Apache Kafka

·   Build and maintain event-driven systems using Kafka producers, consumers, and Kafka Streams.

·   Design event schemas, topics, partitioning, and retention to match business flows.

·   Ensure exactly-once or idempotent processing so no event is lost or applied twice.

·   Handle retries, dead-letter topics, consumer lag, and replay for failed or delayed events.

·   Apply patterns such as Outbox, Saga, event sourcing, and CQRS where they fit.

C. PostgreSQL Data Design and Management

·   Design normalized, transactional data models in PostgreSQL for accounts, ledgers, payments, and customers.

·   Use ACID transactions, appropriate isolation levels, and row-level locking to keep balances correct under concurrent load.

·   Tune queries, indexes, partitioning, and connection pooling for high-volume tables.

·   Manage schema changes safely with versioned migrations (Flyway or Liquibase) and zero-downtime deployment.

·   Plan data archival, backup, point-in-time recovery, and read replicas for reporting.

D. Full Stack Ownership

·   Guide and contribute to responsive web applications built with ReactJS, Next.js, and TypeScript.

·   Integrate frontend applications with backend services and keep API contracts in sync.

·   Optimize end-to-end performance, responsiveness, and reliability.

E. Team Leadership

·   Lead, mentor, and support developers in daily technical work.

·   Break business requirements into technical specifications, tasks, and delivery plans.

·   Assign work, track progress, and deliver milestones on time.

·   Run code reviews, architecture discussions, and technical design reviews.

·   Participate in sprint planning, stand-ups, reviews, and retrospectives.

·   Coordinate with Product, QA, UI/UX, DevOps, Business, and Management teams.

·   Support technical interviews, onboarding, and knowledge sharing.

F. Deployment and Production Support

·   Use Git-based workflows, Docker, and CI/CD pipelines for builds and releases.

·   Own production health: troubleshoot incidents, fix performance bottlenecks, and lead root-cause analysis.

·   Maintain technical documentation, runbooks, and deployment procedures.

G. AI-Assisted Development

·   Use AI coding tools such as ChatGPT, Claude, GitHub Copilot, or Cursor for code, tests, debugging, and documentation.

·   Review and validate all AI-generated output before it reaches production.

Designing and Maintaining Banking Products

Designing Banking Products

·   Ledger-first design: build double-entry ledgers in PostgreSQL where every debit has a matching credit and balances can always be rebuilt from entries.

·   Transaction integrity: use idempotency keys, unique transaction references, and state machines so a request retried by a customer, bank, or network never posts twice.

·   Payment flows: design end-to-end flows for UPI, IMPS, NEFT, RTGS, and card or wallet payments, including timeouts, pending states, reversals, and refunds.

·   Distributed consistency: keep data consistent across microservices with Outbox, Saga, and compensating transactions instead of distributed locks.

·   Core banking integration: integrate with core banking systems such as Oracle FLEXCUBE or Finacle, NPCI and switch interfaces, and partner bank APIs.

·   Product configuration: model savings and current accounts, loans, deposits, and wallets so limits, charges, interest, and rules are configuration rather than code changes.

·   Customer lifecycle: support onboarding, KYC and e-KYC, account servicing, and closure with clear status tracking.

·   Security by design: encrypt sensitive data at rest and in transit, mask PII in logs, manage keys through HSM or a vault, and apply least-privilege access.

·   Regulatory compliance: build to RBI guidelines, including data localization, audit trails, and NPCI operating rules, and align with PCI DSS where card data is involved.

·   Controls: implement maker-checker approvals, transaction limits, velocity checks, and hooks for fraud and AML monitoring.

Maintaining Banking Products in Production

·   Reconciliation: run daily automated reconciliation between internal ledgers, partner banks, NPCI, and settlement files, and resolve mismatches within agreed timelines.

·   Settlement and batch jobs: own end-of-day and beginning-of-day processes, interest accrual, charges, and settlement runs, and make them safe to re-run.

·   High availability: design for 24x7 uptime with no single point of failure, graceful degradation, and defined RPO and RTO for disaster recovery.

·   Observability: track business and technical metrics such as transaction success rate, latency, and consumer lag in Prometheus and Grafana, with alerts before customers notice.

·   Incident management: lead incident response, customer-impact assessment, root-cause analysis, and post-incident fixes for failed or stuck transactions.

·   Safe change management: release through feature flags, canary or blue-green deployments, and backward-compatible APIs and schemas, with tested rollback plans.

·   Audit and reporting: keep immutable audit logs and support regulatory reports, internal audits, and data requests from banks and regulators.

·   Continuous improvement: track defects, performance, and technical debt, and plan regular upgrades of frameworks, libraries, and security patches.

Required Skills and Qualifications

Candidates must have hands-on experience in the following areas:

·   Backend: strong Java (Core Java, Java 17+), Spring Boot, Spring MVC, Spring Data JPA, and Spring Security.

·   Messaging: Apache Kafka, including producers, consumers, Kafka Streams, event design, partitioning, and offset management.

·   Database: strong SQL and PostgreSQL, including data modeling, transactions, isolation levels, indexing, and query tuning.

·   Architecture: microservices, distributed systems, event-driven design, OOP, and design patterns.

·   APIs: designing and documenting RESTful APIs with JSON and OpenAPI/Swagger.

·   Frontend: working knowledge of ReactJS, Next.js, JavaScript (ES6+), and TypeScript.

·   DevOps: Docker, Git (GitHub or GitLab), and CI/CD pipelines.

·   Testing: unit and integration testing with JUnit and Mockito, plus debugging and code review.

·   Leadership: experience guiding developers, reviewing code, planning tasks, and owning delivery.

·   Problem solving: strong debugging skills for production issues in distributed systems.

Mandatory Screening Requirement: Candidates must have strong backend experience in Java, Spring Boot, Kafka, and PostgreSQL, plus working frontend knowledge in ReactJS or Next.js. Frontend-only profiles will not meet the core requirement.

Good to Have

·   Payments domain: experience with UPI, IMPS, NEFT, RTGS, NPCI integrations, or card and wallet systems is highly preferred.

·   Message-driven patterns: event sourcing, CQRS, Saga, and Outbox.

·   Performance: experience building high-throughput, low-latency systems, such as payments or UPI switches.

·   Spring ecosystem: Spring Cloud, Spring Batch, Spring WebFlux, and Spring Integration.

·   Security: OAuth 2.0, JWT, OpenID Connect, encryption, key management, and OWASP practices.

·   Data and caching: Redis, PostgreSQL replication and partitioning, and Oracle Database or Oracle FLEXCUBE exposure.

·   Cloud and orchestration: Kubernetes, Jenkins or GitHub Actions, and AWS, Azure, or GCP.

·   Monitoring and quality: Prometheus, Grafana, ELK Stack, OpenTelemetry, and SonarQube.

·   Compliance: working knowledge of RBI guidelines, PCI DSS, and audit requirements.

·   Ways of working: experience in Agile/Scrum teams.

Preferred Domain Experience

·   Banking, Financial Services and FinTech.

·   Digital payments, lending, or core banking platforms.

·   Enterprise integrations and digital transformation projects.

I’m a Google Cloud Data Engineer with 5+ years of experience in data engineering, ETL, and cloud data solutions. I specialize in BigQuery, Dataform, Cloud Composer (Airflow), SQL, and CI/CD automation.

I have hands-on experience building reusable Dataform frameworks, developing and orchestrating data pipelines, supporting cloud platform upgrades, implementing secure IAM access, and optimizing data transformation workflows. I’ve also worked on AI-assisted SQLX code generation to improve developer productivity and standardize development.

I’m passionate about building scalable, reliable, and efficient data solutions. I’m looking for opportunities where I can contribute my GCP expertise, solve real-world data challenges, collaborate with talented teams, and continue growing as a Data Engineer.

Core skills: Google Cloud Platform (GCP) | BigQuery | Dataform | Cloud Composer | Apache Airflow | SQL | Python | ETL | CI/CD | GitHub Actions | Dataplex

Job Summary

The Data Scientist / Analyst Consultant will design, develop and deploy advanced analytics and AI/ML models to detect fraud, waste and abuse across the AB PM-JAY ecosystem. The role involves working with large volumes of claims, beneficiary, provider and transaction data, engineering fraud features, building and validating detection triggers, and converting model outputs into investigation-ready suspicious claims and cards. The Data Scientist will build triggers using advanced analytics techniques including NLP, OCR, Social Network Analysis and deep learning, support their validation with the National Anti-Fraud Unit (NAFU), and continuously improve model efficacy based on feedback and confirmed fraud outcomes.

Key Responsibilities

• Design, develop and deploy statistical and machine learning models for fraud, waste and abuse detection on scheme claims and card data.

• Perform advanced data analytics including clustering, classification, profiling, anomaly detection, predictive modelling, scoring, regression, link prediction, co-occurrence grouping, similarity matching and causal modelling.

• Develop fraud detection triggers using advanced analytics techniques such as NLP, OCR, Social Network Analysis and deep learning, and document trigger construct, logic and thresholds for review and approval.

• Apply both supervised and unsupervised learning approaches, training models on labelled historical fraud data and scheme ecosystem data.

• Conduct data profiling, quality assessment, cleaning, standardisation and feature engineering to create analysis-ready datasets.

• Execute triggers and models on claim and card data within defined turnaround timelines and generate case-level suspicious output with trigger reasons and evidence fields.

• Validate model outputs, assess false positive risk, calibrate thresholds and measure trigger efficacy against defined performance benchmarks. • Fine-tune and retrain models on the basis of subsequent events, reviewer feedback and confirmed fraud outcomes.

• Collaborate with medical experts, business analysts, subject matter experts and technology teams to translate domain knowledge and clinical rules into executable analytical logic.

• Prepare model documentation, trigger submission packs, dashboards and reports for internal review committees and client-facing evaluations. 

Preferred Skills

• Experience in healthcare analytics, health insurance claims analytics or fraud, waste and abuse detection.

• Experience in fraud analytics roles with a proven track record of developing and implementing fraud detection models and strategies.

• Knowledge of AB-PMJAY / health benefit packages / claims adjudication workflows.

• Exposure to Social Network Analysis, graph analytics or link analysis for collusion and network detection.

• Familiarity with OCR, image analytics and document forgery or duplication detection.

• Experience with model deployment, versioning and MLOps practices.

• Exposure to dashboarding and BI tools such as Power BI, Tableau or equivalent. 

Experience

• Minimum 5 years of experience in analytics and managing big data, out of which at least 3 years in developing AI/ML models.

• Demonstrable credentials of having worked on and developed AI/ML models independently.

• Experience in fraud analytics, anomaly detection or risk modelling will be preferred.

• Experience in healthcare, health insurance or government health scheme data will be an added advantage.

Hiring: 10 openings for Associate Data Forward Deployed Engineer (0–2 yrs) for a fast-growing AI platforms & services company, Hyderabad (confidential client) via Ziro.digital.

Location: Hyderabad (onsite, full-time). Open to candidates from anywhere in India willing to relocate. Experience: 0–2 years. 2024/2025/2026 graduates welcome (B.Tech/B.E/MCA/M.Sc CS/IT or related).

What you'll do: build data pipelines end to end (ingest, transform, model, deliver), work with clients on their data, and use AI for query generation, data quality and debugging.

Must have: strong SQL (write, read, tune); Python for data; SQL Server and/or Postgres; at least one end-to-end data pipeline; data-analysis fundamentals; a GitHub with data projects.

Good to have: S3/Azure Blob, Airflow/mage.ai, DBT/Fabric, Snowflake/Databricks/BigQuery, GitLab CI/CD, Grafana, LLM/RAG awareness.

Compensation & terms: 6-month paid internship at ₹20,000/month, then ₹7 LPA CTC on conversion. Relocation to Hyderabad required.

Selection: Ziro assessment (Communication, Technical, AI interview, Coding), then the company's rounds (aptitude, AI screening, project build, in-office hackathon, technical panel, leadership).

Apply by Wed 21 Oct 2026.

Screening questions (please answer in your application):

1) Willing to relocate to Hyderabad and work onsite?

2) Do you accept a 6-month internship at ₹20k/month, then ₹7 LPA?

3) GitHub link + one project you built.

4) Graduation year, current city, notice period.

Openings: 30

Hiring for a fast-growing AI platforms & services company, Hyderabad via Ziro.digital. Location: Hyderabad (onsite). Open to candidates from anywhere in India who are willing to relocate. Experience: 0–2 years; 2024/2025/2026 graduates welcome (B.Tech/B.E/MCA/M.Sc CS/IT or related).

What you'll do: build and ship end-to-end AI solutions on agentic AI platforms, work directly with clients, and own work from first commit to production.

Must have: strong Python plus one more language; full-stack (front end + back end); complex SQL; REST APIs; a working AI app you can demo (RAG, agent or LLM integration); a GitHub with shipped projects.

Good to have: TypeScript, AWS/GCP, Docker/Kubernetes, vector DBs (Pinecone/Weaviate/pgvector), LangChain/LangGraph/CrewAI/LlamaIndex, LLM evaluation, MLOps.

Compensation & terms: 6-month paid internship at ₹20,000/month, then ₹7 LPA CTC on conversion. Relocation to Hyderabad required.

Selection: Ziro assessment (Communication, Technical, AI interview, Coding), then the company's rounds (aptitude, AI screening, project build, in-office hackathon, technical panel, leadership).

Apply by Wed 21 Oct 2026.

Screening questions:

1) Willing to relocate to Hyderabad and work onsite?

2) Do you accept a 6-month internship at ₹20k/month, then ₹7 LPA?

3) GitHub link + one project you built.

4) Graduation year, current city, notice period.

Roles and Responsibilities

• Build features across the stack — Implement product features that span the React frontend, the GraphQL federation, the Node.js microservices, and the underlying Postgres and ClickHouse stores.
• GraphQL federation work — Add types, resolvers, and subgraph capabilities to the federated Platform API. Keep subgraph boundaries clean. Respect RBAC enforcement at the federation layer.
• Developer experience surfaces — Lift NPS through intuitive UI/UX, fast onboarding, in-browser testing, clear error states, code-snippet generation, and fast time-to-first-successful-call.
• Billing and commerce features — Ship subscription, plan, invoice, payout, and overage features that touch Stripe / PayPal webhooks, the billing state machine, and the usage ledger.
• API catalog and discovery — Improve marketplace search and the API listing experience, including the ranking signals that flow in from the analytics and search stack.
• Observability and quality — Instrument every feature you ship — logs, traces, and metrics are part of the definition of done, not a follow-up ticket. Write the alerts that page you, not someone else.
• Testing discipline — Own unit and integration tests for everything you ship; contribute to the end-to-end and contract test suites that protect the federation and the billing path. A feature without tests is not done.
• On-call and incident response — Take part in on-call rotations; investigate proxy errors, GraphQL federation timeouts, and billing webhook anomalies. You build it, you run it.
• LLM-assisted engineering — Use LLM-based coding and agentic tooling to evolve how features are shipped, reviewed, and tested.

What Success Looks Like

•  Features you ship measurably improve activation, time-to-first-successful-call, and developer NPS quarter over quarter.
• The GraphQL federation surface you touch stays fast, well-typed, and intuitive for the next engineer.
• Billing, subscription, and overage flows you build are accurate, auditable, and replayable — providers and consumers trust the numbers.
• ou ship at a confident cadence — PRs land daily, deploys are routine and boring, regressions are rare.
• You leave the code, the docs, and the tests in better shape than you found them.

What You Bring

• 4–7 years of full-stack product engineering experience, with non-trivial work on production systems used by real customers.
• Strong TypeScript/Node.js; comfort writing both frontend (React) and backend services.
• Hands-on GraphQL experience — ideally federation (Apollo Federation / Mercurius / similar), schema design, subgraph composition, persisted queries, performance tuning.
• Solid SQL and comfort with MySQL or Postgres in production; bonus for ClickHouse or Redis experience.
• Familiarity with AWS (EKS, Lambda, Aurora) and containerised deployment on Kubernetes.
• Comfortable with modern observability, feature flags, and CI/CD pipelines.
• Care for developer experience — APIs you would want to consume, docs you would want to read, errors you would want to debug.
• Bonus: experience with billing/commerce systems (Stripe / PayPal), API gateways, rate-limiting, agent protocols (MCP, A2A, x402), or LLM-based developer tooling.
• You are pragmatic, ship-oriented, and comfortable in a system big enough that no one person knows all of it.

We are hiring on behalf of a partner software company for a fresher Java Developer Intern. The internship is up to 12 months, with a possible transition to a full-time Java Developer role based on performance.

IMPORTANT – Location rule: This is a remote role, but it is open only to candidates who are currently living in Hyderabad, India. Applicants not currently residing in Hyderabad will not be considered.

Eligibility: 2023, 2024, and 2025 graduates (B.Tech / B.E / MCA / M.Sc / B.Sc). Experience: 0 years (freshers).

Required skills: Core Java, OOP, SQL and relational databases, strong logical reasoning and problem solving. Spring Boot / REST APIs is a plus.

What you'll do: Work on real Java backend projects, databases and APIs.

Next step: Shortlisted applicants will take an online assessment on Ziro: https://ziro.digital/jobs/p/java-developer-intern-fresher-3d96e2

GCP Data engineer (L1 virtual, L2 or DM F2F )

GCP + Python + Pyspark + sql + Lead

8+yrs

Bangalore/hyderabad location ( relocation profiles also from Chennai pune location)

immediate to 15days

About Us: The Next Generation of WealthTech  

We're Cambridge Wealth, an award-winning force in mutual fund distribution and Fintech. We're not just moving money; we're redefining wealth management for everyone from retail investors to ultra-HNIs (including the NRI segment). Our brand is synonymous with excellence, backed by accolades from the BSE and top Mutual Fund houses.

If you thrive on building high-performance, scalable systems that drive real-world financial impact, you'll feel right at home. Join us in Pune to build the future of finance.

[Learn more: www.cambridgewealth.in]

The Role: Engineering Meets Team Meets Customer

We're looking for an experienced, hands-on Tech Catalyst to accelerate our product innovation. This isn't just a coding job; it's a chance to blend deep backend expertise with product strategy. You will be the engine driving rapid, data-driven product experiments, leveraging AI and Machine Learning to create smart, personalized financial solutions. You'll lead by example, mentoring a small, dedicated team and ensuring technical excellence and rapid deployment in the high-stakes financial domain.

Key Impact Areas: Ship Fast, Break Ground  

1. Backend & AI/ML Innovation  

• Rapid Prototyping: Design and execute quick, iterative experiments to validate new features and market hypotheses, moving from concept to production in days, not months.
• AI-Powered Features: Build scalable Python-based backend services that integrate AI/ML models to enhance customer profiling, portfolio recommendation, and risk analysis.
• System Architecture: Own the performance, stability, and scalability of our core fintech platform, implementing best practices in modern backend development.

2. Product Leadership & Execution  

• Agile Catalyst: Drive and optimize Agile sprints, ensuring clear technical milestones, efficient resource allocation, backlog grooming and maintaining a laser focus on preventing scope creep.
• Mentorship & Management: Provide technical guidance and mentorship to a team of developers, fostering a culture of high performance, code quality, and continuous learning.
• Domain Alignment: Translate complex financial requirements and market insights into precise, actionable technical specifications and seamless user stories.
• Problem Solver: Proactively identify and resolve technical and process bottlenecks, acting as the ultimate problem solver for the engineering and product teams.

3. Financial Domain Expertise  

• High-Value Delivery: Apply deep knowledge of the mutual fund and broader fintech landscape to inform product decisions, ensuring our solutions are compliant, competitive, and truly valuable to our clients.
• Risk & Security: Proactively architect solutions with security and financial risk management baked in from the ground up, protecting client data and assets.

Your Tech Stack & Experience  

The Must-Haves  

• Mindset: A verifiable track record as a proactive First Principle Problem Solver with an intense Passion to Ship production-ready features frequently.
• Startup Experience: Familiarity with the pace and intensity of a fast-iterating environment.
• Customer Empathy: Keeps the customer's experience in mind at all times.
• Team Leadership: Experience in leading, mentoring, or managing a small development team, driving technical excellence and project delivery.
• Systems Thinker: Diagnoses and solves problems by viewing the organization as an interconnected system to anticipate broad impacts and develop holistic, strategic solutions.
• Backend Powerhouse: 2+ years of professional experience with a strong focus on backend development.
• Python Guru: Expert proficiency in Python and related frameworks (e.g., Django, Flask) for building robust, scalable APIs and services.
• AI/ML Integration: Proven ability to leverage and integrate AI/ML models into production-level applications.
• Data Driven: Expert in SQL for complex data querying, analysis, and ETL processes.
• Financial Domain Acumen:Strong, demonstrable knowledge of financial products, especially mutual funds, wealth management, and key fintech metrics.

Nice-to-Haves  

• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with Zoho Analytics, Zoho CRM and Zoho Deluge
• Familiarity with modern data analysis tools and visualization platforms (e.g., Mixpanel, Tableau, or custom dashboard tools).
• Understanding of Mutual Fund, AIF, PMS operations

Ready to Own the Backend and Shape Finance?  

This is where your code meets the capital market. If you’re a Fintech-savvy Python expert ready to lead a team and build a scalable platform in Pune, we want to talk.

Apply now to join our award-winning, forward-thinking team.

Our High-Velocity Hiring Process:  

• You Apply & Engage: Quick application and a few insightful questions. (5 min)
• Online Tech Challenge: Prove your tech mettle. (90 min)
• People Sync: A focused call to understand if there is cultural and value alignment. (30 min)
• Deep Dive Technical Interview: Discuss architecture and projects with our senior engineers. (1 hour)
• Founder's Vision Interview: Meet the leadership and discuss your impact. (1 hour)
• Offer & Onboarding: Reference and BGV check follow the successful offer.

What are you building right now that you're most proud of?

About the job

What you will work on

• Work directly with lenders and lawyers to find what slows them down, then design, test and validate the fix with them.
• Turn direct customer metrics into insights that shape what we build next.
• Architect and scale the document ingestion pipeline so every report gets faster and more reliable as volume grows.
• Find out why LLM output goes wrong, fix it at the root, and build evals that keep it fixed.
• Build out our multi agent system and the tools it uses across government sources.
• Ship features end to end in the web app, and run it on GCP with an eye on cost and latency.

What we are looking for

• 0 to 5 years of experience building and shipping software. Internships, freelance work and serious side projects all count.
• Strong TypeScript and Node.js, with working knowledge of React, SQL and a cloud platform (GCP preferred).
• Hands on experience with LLM APIs: tool calling, structured output and multi agent orchestration, using agent traces and evals to debug and measure them.
• Experience building backend systems that hold up in production: queues, retries, idempotency, and logs and traces to debug them.
• A habit of measuring: you instrument what you ship and let the data decide what to do next.
• Experience integrating with websites and APIs that were never built for you: sessions, form posts, HTML parsing and rate limits.

Nice to have

• Durable workflows and reliable delivery: idempotency keys, the outbox pattern, signed webhooks
• PDF and image processing: OCR and scanned documents
• Reads Hindi, Kannada, Telugu or Tamil
• Exposure to fintech, lending or legal work
• Happy to work from our Gurugram office 5 days a week

Job Description:

We are looking for an experienced .NET Full Stack Developer with strong expertise in C#, .NET technologies, Angular, and SQL. The ideal candidate should have hands-on experience in developing, testing, and maintaining scalable web applications and RESTful APIs.

Key Responsibilities:

• Design, develop, and maintain full-stack web applications using C#, .NET, and Angular 15+.
• Develop and integrate RESTful APIs and Web APIs.
• Build responsive and user-friendly front-end applications using Angular.
• Work with SQL databases, including writing queries and optimizing database performance.
• Develop and maintain microservices-based applications.
• Perform unit testing, debugging, and troubleshooting to ensure application quality.
• Collaborate with cross-functional teams to understand requirements and deliver solutions.
• Use JIRA for task tracking, sprint planning, and project management.
• Follow coding standards, best practices, and software development methodologies.

Required Skills:

• 6+ years of experience in full-stack development.
• Strong hands-on experience in C# and .NET.
• Experience developing Web APIs and RESTful APIs.
• Proficiency in Angular 15 or above.
• Strong knowledge of SQL and database management.
• Experience with microservices architecture.
• Hands-on experience in unit testing.
• Familiarity with JIRA and Agile development methodologies.

Preferred Candidate Profile:

• Strong problem-solving and analytical skills.
• Good communication and collaboration skills.
• Ability to work independently and as part of a team.

About Solutionara

Solutionara is an AI-led IT Consulting and Technology Services organization delivering enterprise transformation through Cloud, Integration, Data Engineering, Digital Experience, AI, and Enterprise Applications.

Headquartered in the United States with a Global Delivery Center (GDC) in Noida, India, Solutionara partners with enterprise organizations across retail, manufacturing, distribution, consumer goods, and other industries to design, implement, and support scalable technology solutions.

As a rapidly growing consulting organization, we foster a culture of ownership, innovation, collaboration, and continuous improvement, empowering our teams to contribute beyond their immediate responsibilities while delivering exceptional value to our global clients.

Every team member is expected to think like a consultant and business problem solver—understanding client objectives, challenging assumptions when appropriate, leveraging AI responsibly, and continuously identifying opportunities to improve quality, productivity, and customer outcomes.

AI is embedded into how we work, but it is an enabler—not a replacement for expertise, critical thinking, or accountability.

Role Overview

Solutionara is seeking a Senior Data Engineer with strong data engineering and database expertise to design, build, optimize, and support enterprise-scale data solutions.

This is a hands-on engineering position requiring strong SQL, Python, ETL/ELT, database, cloud, and troubleshooting capabilities. The engineer will work closely with technical leads and client stakeholders while taking ownership of major engineering components.

Location: Noida, India – Onsite | Employment Type: Full-Time | Experience: 6–9 Years

Key Responsibilities

Data Engineering

• Design, develop, test, deploy, and support scalable ETL/ELT pipelines.
• Build ingestion and transformation solutions across databases, APIs, files, and enterprise applications.
• Develop high-quality SQL and Python-based data processing solutions.
• Implement batch and incremental data-processing patterns.
• Develop reusable engineering components and frameworks.
• Support complex data migration and transformation activities.
• Perform source-to-target mapping and technical data analysis.
• Implement pipeline logging, monitoring, exception handling, and recovery mechanisms.

Database & Platform Engineering

• Design and optimize relational database schemas and data structures.
• Analyze and improve SQL/query performance.
• Support indexing, partitioning, storage optimization, and database performance.
• Implement appropriate database security and access controls.
• Support database monitoring, availability, backup/recovery, and operational requirements in collaboration with infrastructure/platform teams.
• Troubleshoot database and pipeline performance issues.
• Contribute to cloud data-platform configuration and optimization.

Data Quality

• Implement automated validation and data-quality controls.
• Develop reconciliation processes between source and target systems.
• Identify duplicate, incomplete, inconsistent, and invalid data.
• Implement cleansing, standardization, validation, and exception-management logic.
• Work with technical and business stakeholders to understand and implement business data rules.

Technical Delivery

• Convert technical designs into reliable production solutions.
• Participate in technical design and code reviews.
• Mentor junior/mid-level engineers.
• Support estimation and technical planning.
• Troubleshoot complex production and integration issues.
• Collaborate with technical leads, application teams, DevOps, QA, BI, and client teams.
• Document technical designs, mappings, configurations, operational procedures, and engineering decisions.

Consulting & AI-Led Working

• Understand the business purpose behind assigned engineering requirements.
• Raise risks, assumptions, dependencies, and potential improvements proactively.
• Communicate effectively with client and internal stakeholders.
• Use AI-assisted tools to improve coding, testing, analysis, documentation, and troubleshooting productivity.
• Independently verify AI-generated code and recommendations before implementation.
• Identify opportunities for engineering automation and process improvement.

Required Qualifications

• 6–9 years of experience in data engineering, database engineering, data integration, or related areas.
• Advanced SQL skills.
• Strong hands-on Python experience.
• Strong ETL/ELT development experience.
• Strong relational database knowledge, such as SQL Server, PostgreSQL, Oracle, or equivalent.
• Experience with data modeling and database design.
• Experience with AWS, Azure, or another major cloud platform.
• Experience with modern data technologies such as Databricks, Snowflake, Redshift, Synapse, Glue, ADF, Airflow, dbt, or equivalent.
• Experience with performance tuning and optimization.
• Experience with data validation and reconciliation.
• Strong troubleshooting and analytical skills.
• Ability to take ownership of engineering deliverables with limited supervision.

Preferred Qualifications

• Experience working with enterprise ERP, CRM, PIM, PLM, MES, or related systems.
• Experience with manufacturing, retail, distribution, or consumer-goods data.
• Experience with CI/CD and infrastructure/platform engineering practices.
• Experience with API and event-driven integrations.
• Previous consulting or technology-services experience.

What Success Looks Like

• Pipelines and databases perform reliably at enterprise scale.
• Engineering solutions are maintainable, reusable, and well documented.
• Data issues are detected and addressed systematically.
• Junior engineers receive effective technical guidance.
• Problems are owned through resolution rather than simply escalated.
• Engineering decisions reflect both technical requirements and client business objectives.

🚀 Hiring: Senior GCP Data Engineer

We are looking for experienced Senior Data Engineers with strong hands-on expertise in Google Cloud Platform (GCP), Python, PySpark, and SQL. Candidates with team lead experience will be preferred.

📌 Job Details:

• Role: Senior GCP Data Engineer
• Experience: 8+ Years
• Budget: Up to ₹30 LPA
• Location: Bangalore / Hyderabad
• Relocation: Candidates from Chennai and Pune willing to relocate are welcome.
• Notice Period: Immediate to 15 days
• Interview Process: L1 – Virtual | L2 / DM – Face-to-Face (F2F)

💻 Required Technical Skills:

• Strong hands-on experience with GCP data engineering.
• Excellent proficiency in Python, PySpark, and SQL.
• Experience in designing, developing, and optimizing data pipelines.
• Good understanding of ETL/ELT processes and large-scale data processing.
• Experience working with cloud-based data platforms and data warehousing.
• Strong analytical, problem-solving, and communication skills.

⭐ Preferred Skills:

• Previous experience as a Technical Lead or leading a data engineering team.
• Knowledge of GCP services such as BigQuery, Dataproc, Dataflow, and Cloud Storage.

Junior PHP/Laravel Developer – Education ERP

Experience: 1.5–3 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

Role overview:

·         Technology Expertise & DBA Skill Set

·         Cloud Platforms: AWS, Azure

·         Database IaaS: Oracle, Microsoft SQL Server, PostgreSQL

·         Database PaaS: CosmosDB, MySQL, SQL Managed Instance, RDS Aurora, MongoDB

·         Infrastructure as Code: Terraform, Ansible

·         CI/CD & Automation: GitHub Actions, GitLab, Azure DevOps

·         Programming & Scripting: Python, Bash/Shell, PowerShell

·         Operating Systems: Linux/Unix (RHEL, Ubuntu), Window

Database Team Overview

Our Database Team is the foundation of enterprise-grade databases delivering secure, compliant and high-performing database platforms across Azure and AWS. We provide managed services for Oracle and Microsoft SQL Server, operating in a system DBA role to ensure platform reliability, resilience, and operational excellence. In addition, we support PaaS and RDS database services by acting as the platform team defining policies, enforcing security standards, and managing networking configurations while enabling self-service capabilities for application teams to consume these services efficiently.

What would you do here:

·         Database Security & Compliance: Implement robust security controls, encryption, and auditing to safeguard sensitive data and meet regulatory requirements.

·         Lifecycle Management: Oversee patching, upgrades, and end-of-life transitions to maintain platform stability and minimize risk.

·   Performance Optimization: Monitor and tune databases for optimal performance across diverse workloads.

·         Automation & Operational Excellence: Design and deploy automation for provisioning, monitoring, and maintenance to achieve “brilliant basics” and reduce manual intervention.

·         Business-Critical Certification: Validate and certify database environments to support mission-critical applications with high availability and disaster recovery strategies.

·         Incident & Problem Management: Provide rapid response and  root-cause analysis for database-related incidents to ensure business continuity.

·         Capacity Planning & Scalability: Forecast growth and optimize resources to support evolving business needs.

Best Regards!

Job Summary

We are looking for an experienced Application Support Engineer (L2) with expertise in supporting banking applications, monitoring production systems, troubleshooting incidents, and ensuring application availability and stability. The candidate should have strong SQL skills, knowledge of ITIL processes, experience with shell scripting, Grafana dashboards, Control-M job scheduling, and automation of routine support activities.

Key Responsibilities

• Provide L2 production support for critical banking applications and ensure high availability and performance.
• Monitor application health, system performance, logs, and alerts using Grafana and observability tools.
• Troubleshoot production incidents, perform root cause analysis (RCA), and implement permanent fixes.
• Write and execute SQL queries to investigate application issues, validate transactions, and perform data analysis.
• Monitor, manage, and troubleshoot batch jobs and workflows using Control-M.
• Perform log analysis and execute shell scripts for system checks, troubleshooting, and routine operational activities.
• Follow ITIL processes, including Incident Management, Problem Management, Change Management, and Service Request Management.
• Automate repetitive operational tasks using shell scripting and other automation techniques.
• Collaborate with development, infrastructure, database, and business teams to resolve production issues within agreed SLAs.
• Participate in incident bridges, provide timely updates to stakeholders, and prepare incident reports.
• Support application deployments, release activities, and post-deployment validation.
• Maintain support documentation, knowledge articles, SOPs, and operational runbooks.
• Ensure compliance with banking security policies, audit requirements, and operational procedures.

Required Technical Skills

• Application Support: Hands-on experience in L2 production support, incident troubleshooting, and application monitoring.
• SQL: Strong SQL query-writing skills, joins, subqueries, data validation, and troubleshooting database-related issues.
• Observability: Knowledge of application monitoring, log analysis, metrics, alerts, and performance troubleshooting.
• Grafana: Experience monitoring dashboards, analyzing metrics, identifying anomalies, and troubleshooting alerts.
• Control-M: Experience monitoring batch jobs, handling job failures, managing dependencies, and rerunning failed jobs.
• Shell Scripting: Basic to intermediate scripting for log analysis, health checks, file processing, and task automation.
• ITIL: Understanding of Incident, Problem, Change, and Service Request Management processes.
• Automation: Ability to automate repetitive support tasks and improve operational efficiency.
• Banking Domain: Understanding of banking applications, transaction processing, batch processing, and business-critical production operations.

Preferred Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Experience supporting business-critical applications in a banking or financial services environment.
• Knowledge of Linux/Unix operating systems and application/server logs.
• Familiarity with SLA management, production support rotations, and on-call support.
• Strong analytical, troubleshooting, communication, and stakeholder-management skills.

Key Competencies

• Incident prioritization and effective problem-solving.
• Root cause analysis and preventive action implementation.
• Production stability and service improvement.
• Coordination with cross-functional technical teams.
• Ability to work in a 24/7 support environment when required.

Overall Objective: Ensure stable and reliable banking application operations by proactively monitoring systems, resolving production incidents, automating routine activities, and meeting defined service-level agreements (SLAs).

AI Architect – Enterprise AI & Generative AI ( Remote) - Contractual

Experience: 8+ years

Location: Remote, India

Employment Type: Contractual

Working Hours: 3:00 PM – 12:00 AM IST

Client Engagement: US-based client

About the Role

We are looking for a hands-on, client-facing AI Architect to lead the architecture, technical direction, and production implementation of enterprise AI and Generative AI solutions for a US-based client.

You should combine strong software engineering and cloud architecture fundamentals with practical experience building secure, scalable, and reliable AI applications. This role involves end-to-end technical ownership, from solution design and prototyping to production deployment and optimization. It is not a research-only, advisory-only, or prompt-writing position.

Key Responsibilities

• Lead end-to-end architecture and delivery of AI/ML and Generative AI solutions, from discovery and proof of concept to production rollout.
• Design LLM-powered applications using Retrieval-Augmented Generation (RAG), embeddings, vector databases, AI agents, and orchestration frameworks.
• Define data ingestion, chunking, retrieval, grounding, evaluation, and knowledge-refresh strategies.
• Select appropriate AI models and platforms based on quality, latency, cost, security, and operational requirements.
• Design cloud-native architectures, APIs, integrations, identity controls, monitoring, and resilient deployment patterns.
• Create architecture diagrams, technical designs, implementation roadmaps, and technical standards.
• Implement AI quality and safety measures, including hallucination mitigation, guardrails, access controls, and prompt-injection defenses.
• Guide engineering, data, ML, and DevOps teams through implementation, code reviews, troubleshooting, and go-live readiness.
• Lead technical discussions and design reviews with US client stakeholders.
• Establish production monitoring, CI/CD, versioning, incident handling, and performance and cost optimization practices.

Required Skills & Qualifications

• 8+ years of relevant experience in software engineering, AI/ML engineering, data engineering, or technology architecture.
• Proven experience personally architecting and deploying at least one enterprise-grade AI or Generative AI solution into production.
• Strong practical knowledge of LLMs, RAG, embeddings, vector databases, orchestration frameworks, and model evaluation.
• Hands-on experience with Python and APIs, including prototyping, code review, and troubleshooting.
• Experience with at least one major cloud platform: Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Understanding of data pipelines, SQL/NoSQL databases, containers, CI/CD, MLOps, and LLMOps.
• Knowledge of enterprise security, privacy, identity and access management, and responsible AI practices.
• Experience independently leading architecture workshops, design reviews, and technical discussions with US clients.
• Excellent written and spoken English, documentation, and stakeholder management skills.
• Availability to work from 3:00 PM to 12:00 AM IST and willingness to accept a contractual engagement.

Preferred Experience

• Azure AI Foundry, Azure OpenAI, Amazon Bedrock, or Google Vertex AI.
• Azure AI Search or equivalent retrieval tools.
• LangChain, LangGraph, Semantic Kernel, and agent/tool orchestration.
• Model fine-tuning, predictive ML, document intelligence, multimodal AI, or real-time AI applications.
• Experience in cloud modernization, enterprise integrations, data analytics, or technology consulting.
• Relevant AI/cloud architecture certifications and experience mentoring technical teams.

What Success Looks Like

• Designing secure, scalable, production-ready AI solutions rather than demos or conceptual presentations.
• Making sound technical decisions around feasibility, performance, reliability, cost, and AI risks.
• Taking ownership of architecture decisions and resolving technical blockers with limited supervision.
• Building trust with senior US stakeholders and collaborating effectively with India-based delivery teams.

Contract Details

• Initial engagement: Minimum 3 months, with extension subject to project requirements and performance.
• Working schedule: 3:00 PM – 12:00 AM IST.
• Potential permanent employment: After 18 months, the client may consider direct permanent employment at its sole discretion. Conversion is not guaranteed.

Mandatory Screening Criteria

Candidates should be able to:

• Explain an enterprise AI/GenAI solution they personally architected and deployed, including architecture, scale, evaluation, and business impact.
• Whiteboard an enterprise RAG or agentic solution covering data flow, security, authentication, authorization, monitoring, and cost controls.
• Discuss real-world model-quality issues, hallucinations, privacy risks, incidents, and architectural trade-offs.
• Lead a technical design review with US client stakeholders.
• Confirm acceptance of the working hours and contractual engagement.

Apply only if you have hands-on experience architecting and deploying enterprise AI/GenAI solutions in production.

Job Description: Informatica IDMC & Snowflake Developer

Experience: 6+ Years

Required Skills: Informatica IDMC, ETL, Data Warehousing, Snowflake, SQL

Contract Duration: 2 months

Required Technical Skills

• Informatica: Strong hands-on experience with Informatica IDMC, Cloud Data Integration (CDI), Cloud Application Integration (CAI), Mass Ingestion (MI).
• ETL / ELT: Strong understanding of ETL architecture, data integration patterns, incremental loading, and error-handling strategies.
• Data Warehousing: Good understanding of dimensional modelling, data marts, fact and dimension tables, and data warehouse design principles.
• Snowflake: Hands-on experience with Snowflake architecture, SQL, data loading, transformations, performance tuning, and warehouse optimization.
• SQL: Strong proficiency in complex SQL queries, analytical functions, views, stored procedures, and query optimization.
• Database Development: Experience creating and maintaining database objects, validating data, reconciling datasets, and troubleshooting performance issues.

Candidate Profile

• 6+ years of hands-on experience in ETL/ELT development and data integration along with IDMC, Snowflake, Data Warehousing and SQL.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently, manage priorities, and collaborate effectively with cross-functional teams.
• Proven ability to deliver high-quality, scalable, and maintainable data solutions in an Agile Environment.

Job Title: GCP Data Engineer

Experience: 6–8 years

Location : Bangalore

What are they looking for?

They need a Google Cloud Platform (GCP) Data Engineer who can build and maintain data pipelines, process large volumes of data, and manage data storage using Google Cloud services.

The candidate should have hands-on experience with batch and real-time data processing, ETL workflows, and cloud data warehousing.

Mandatory / Core Skills

• Google Cloud Platform (GCP)
• Google Cloud Dataflow
• Pub/Sub
• Apache Beam
• BigQuery
• Cloud Storage / Bigtable
• Cloud Composer (Apache Airflow)
• ETL / data pipeline development
• Apache Spark / Hadoop using Dataproc

Supporting Skills

• Cloud Data Fusion
• NoSQL databases
• Data quality and governance
• Data security, access controls, and encryption
• Batch and real-time streaming
• Preparing datasets for BI, analytics, and machine learning

We’re looking for a dynamic and driven Data Analyst to join our team of technology enthusiasts. This role is crucial in transforming data into insights that support strategic decision-making and innovation within the insurance technology (InsurTech) space. If you’re passionate about working with data, understanding systems, and delivering value through analytics, we’d love to hear from you.

What We’re Looking For

• Proven experience working as a Data Analyst or in a similar analytical role
• 5+ Years of experience in the field
• Strong command of SQL for querying and manipulating relational databases
• Experience with Power BI for building impactful dashboards and reports
• Familiarity with QlikView and Qlik Sense is a plus
• Ability to communicate findings clearly to technical and non-technical stakeholders
• Knowledge of Python or R for data manipulation is nice to have
• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field
• Understanding of the insurance industry or InsurTech is a strong advantage

What You’ll Be Doing:

• Delivering timely and insightful reports to support strategic decision-making
• Working extensively with Policy Administration System (PAS) data to uncover patterns and trends
• Ensuring data accuracy and consistency across reports and systems
• Collaborating with clients, underwriters, and brokers to translate business needs into data solutions
• Organizing and structuring datasets, contributing to data engineering workflows and pipelines
• Producing analytics to support business development and market strategy

GCP Data Engineer

Job Description

Experience: 4-10 Years Location: Bangalore, India Employment:

Role Overview

We are seeking a GCP Data Engineer to design, build and maintain data systems on Google Cloud Platform. The role focuses on building pipelines with BigQuery, Dataflow and Pub/Sub, managing cloud storage, and enabling real-time data processing for fast, reliable analytics.

Key Responsibilities

• Design, develop and maintain scalable batch and real-time data pipelines on GCP.

• Build ETL/ELT pipelines with rollback strategies, bad-record handling and performance optimization.

• Design end-to-end data integration flows across systems.

• Design scalable fact/dimension schemas in cloud data warehouses.

• Handle structured, semi-structured and unstructured data at scale.

• Implement data quality checks, security and compliance policies; protect sensitive information.

• Optimize data systems by identifying bottlenecks, tuning queries and adopting new technologies.

• Collaborate with data scientists, analysts and business stakeholders to deliver tailored data solutions.

Technical Skills

• GCP Services: Cloud Run functions, Cloud Scheduler, Workflows, Pub/Sub, GCS, Dataflow, BigQuery, Cloud Build.

• Programming: Strong SQL / PL-SQL, Python and object-oriented languages (Java, Python); API development.

• CI/CD: Deployment using GitHub Actions and Jenkins.

• Data Modelling: Top-down and bottom-up database design, data masking, normalization, denormalization, dimensional modeling.

• Big Data & Streaming: Streaming architectures, NoSQL stores and key-value databases under high concurrency and volume.

Qualifications

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

• 4-10 years of data engineering experience with hands-on GCP delivery.

• Strong problem-solving, communication and stakeholder management skills.

• GCP Professional Data Engineer certification preferred.

Sourcing Preference

• Priority 1: Internal profiles (TCSers).

• Priority 2: If no suitable internal profile is identified, external candidates available for immediate joining.

Desirable Skills:

Keyword:

Skills: Digital : Python~Digital : NOSQL~Digital : Google Cloud

Experience Required: 6-8

Job Summary

We are looking for an experienced Python Developer for the position of Delivery Module Lead. The ideal candidate should have strong hands-on experience in Python programming, front-end technologies, and back-end development. The candidate will be responsible for developing scalable web applications, integrating APIs, and collaborating with cross-functional teams to deliver high-quality software solutions.

Key Responsibilities

• Design, develop, and maintain scalable web applications using Python and front-end technologies.
• Collaborate with product managers, designers, and developers to understand business requirements and implement solutions.
• Develop responsive user interfaces and optimize application performance across different browsers and devices.
• Write clean, reusable, and maintainable code following development best practices.
• Conduct code reviews and ensure code quality and standards.
• Debug, troubleshoot, and resolve application issues.
• Develop and integrate RESTful APIs and web services.
• Participate in Agile development activities, including sprint planning, daily stand-ups, and retrospectives.
• Continuously improve development processes and stay updated with emerging technologies.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with HTML, CSS, and JavaScript.
• Experience with front-end frameworks such as React, Angular, or Vue.js.
• Experience with back-end frameworks such as Django or Flask.
• Good understanding of RESTful APIs and web services.
• Experience with Git and version control systems.
• Strong problem-solving and analytical skills.

Preferred Skills

• Knowledge of databases such as PostgreSQL, MySQL, or MongoDB.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with Docker and containerization technologies.
• Understanding of CI/CD pipelines and DevOps practices.
• Experience with Agile methodologies and project management tools.

8-12 years experience on Data Engineering role working with Databricks & Azure Cloud technologies.

• Bachelor’s degree in computer science, Information Technology, or related field.

• Strong proficiency in PySpark, Python, SQL.

• Strong experience in data modeling, ETL/ELT pipeline development, and automation • Hands-on experience with performance tuning of data pipelines and workflow

• Proficient in working on Azure cloud components Azure Data Factory, Azure DataBricks, Azure Data Lake etc.

• Experience with data modeling, ETL processes, Delta Lake and data warehousing.

• Experience on Delta Live Tables, Autoloader & Unity Catalog.

Preferred - Knowledge of the insurance industry and its data requirements.

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

• Excellent communication and problem-solving skills to work effectively with diverse teams

• Excellent problem-solving skills and ability to work under tight deadlines. 

Job Title : Senior Data Engineer – GCP & Apache Spark

Job Details :

• Number of Positions : 3
• Employment Type : Contract-to-Hire (C2H)
• Experience Required : 5 to 8 Years
• Location : Manyata Tech Park, Bengaluru
• Work Mode : Hybrid – 3 Days in Office per Week
• Preferred Notice Period : Immediate to 15–20 Days
• Project Duration : Initially 6–8 months, with a strong possibility of extension for long-term projects
• Relocation : Candidates from outside Bengaluru can apply if they are willing to relocate.

Role Overview :

We are looking for experienced Senior Data Engineers with strong expertise in Google Cloud Platform (GCP), Apache Spark, BigQuery, and SQL to design, develop, and maintain scalable data pipelines and distributed data processing solutions.

The ideal candidate should have hands-on experience with cloud-based data engineering, end-to-end pipeline architecture, system design, performance optimization, debugging, and CI/CD practices.

Mandatory skills :

Apache Spark (PySpark / Scala), SQL, GCP, BigQuery, GCP Dataproc, Data Pipelines, System Design, CI/CD, Debugging & Problem-Solving.

Key Responsibilities :

• Design, develop, and maintain scalable data pipelines using Apache Spark, PySpark, and/or Scala.
• Build and optimize batch and distributed data processing workflows on GCP.
• Work extensively with BigQuery for data transformation, validation, analytics, and query optimization.
• Develop and maintain data workflows using GCP services, including Dataproc, BigQuery, and Cloud Storage.
• Design end-to-end data pipeline architectures with a focus on scalability, reliability, and performance.
• Write and optimize complex SQL queries for large-scale datasets.
• Troubleshoot and resolve data processing issues, pipeline failures, and performance bottlenecks.
• Implement CI/CD practices for data engineering workflows, testing, and deployments.
• Monitor pipeline performance and identify opportunities for continuous improvement.
• Collaborate with cross-functional teams to understand requirements and deliver reliable data solutions.
• Participate in code reviews, testing, production deployments, and production support.

Mandatory Skills :

• Strong hands-on experience with Apache Spark, including PySpark and/or Scala.
• Strong SQL skills and experience working with large-scale datasets.
• Hands-on experience with Google Cloud Platform (GCP).
• Practical experience with BigQuery and data warehousing concepts.
• Working knowledge of GCP Dataproc.
• Strong understanding of data pipelines, end-to-end workflows, and system design.
• Practical experience with CI/CD and deployment processes.
• Excellent debugging, troubleshooting, and problem-solving skills.

Preferred Skills :

• Experience with Apache Airflow, Google Cloud Composer, or similar orchestration tools.
• Knowledge of Kafka or other streaming and messaging technologies.
• Proficiency in Python for data engineering and automation.
• Experience with Git-based development workflows.
• Knowledge of Linux/Unix environments and shell scripting.
• Familiarity with monitoring, logging, data quality, and governance practices.

Required Qualifications :

• 5 to 8 years of experience in Data Engineering, Big Data Engineering, or a related field.
• Proven experience developing and maintaining scalable data pipelines.
• Strong understanding of distributed data processing and cloud-based data architecture.
• Ability to troubleshoot complex technical issues and optimize pipeline performance.
• Strong communication, collaboration, and ownership skills.

Interview Process :

Round 1 : AI-Based Interview

• Candidates must complete the AI interview as soon as possible after receiving the invitation.

Round 2 : Virtual Interview Drive

• Interviews are planned for the upcoming drive; exact dates will be communicated separately.

Round 3 : Online Client Interview

• Shortlisted candidates will attend the online interview.
• Candidates must be available throughout the day on the scheduled interview date.

Who We Are

YourDOST is one of India’s leading emotional wellness organisations. We help corporates, colleges, and government institutions build healthier and more resilient communities through counselling, assessments, self-help tools, training, and organisational insights.

Since 2014, we have partnered with 500+ organisations, including CK Birla Group, UpGrad, IIT Madras, IIT Delhi, and IIM Bangalore, and supported over 20 lakh Indians.

Learn more at www.yourdost.com.

About the Role

We are looking for a Product Analyst / Business Analyst who can use data and structured thinking to support product decisions and execution.

You will work closely with Product, Technology, Design, and business teams to analyse product performance, translate requirements into user stories, support releases, and identify opportunities for improvement.

What You Will Do

• Analyse user behaviour, funnels, engagement, retention, and other product metrics.
• Build dashboards and convert data into clear, actionable insights.
• Translate business requirements into user stories, workflows, and acceptance criteria.
• Work with Product, Technology, and Design teams during planning and development.
• Conduct UAT, identify edge cases, and validate releases.
• Measure the impact of product changes and recommend improvements.
• Conduct competitor, market, and customer research.
• Use AI and no-code tools to improve research, analysis, and workflows.

Who Can Apply

• 1–3 years of experience in Product Analysis, Business Analysis, Product Operations, or Data Analysis.
• Strong analytical and problem-solving skills.
• Advanced knowledge of Excel or Google Sheets.
• Working knowledge of SQL and BI tools such as Power BI, Tableau, Looker Studio, or Metabase.
• Familiarity with product analytics tools such as Mixpanel, GA4, or Amplitude.
• Experience creating user stories, acceptance criteria, and conducting UAT.
• Ability to work effectively with Product and Technology teams.
• Strong attention to detail and communication skills.
• Startup experience and an interest in mental health or consumer technology are a plus.

Why Join Us

• Work at the intersection of product, data, and business.
• Directly influence product decisions through analysis and insights.
• Get end-to-end exposure to building, launching, and improving products.
• Work on products that meaningfully impact people’s well-being.

Job Details

Location: HSR Layout, Bengaluru

Employment Type: Full-time

Work Mode: Onsite

Working Days: Five days a week

Mandatory Skills (Must Have)

• SQL and Database Design (5+ years in enterprise data platforms)

• Python development for automation and platform services (5+ years)

• Linux administration and Shell Scripting in production environments

• Metadata-driven systems and data management platform experience

• Technical leadership of offshore or distributed development teams Wissen Technology

• System analysis, troubleshooting, and production support expertise

• Metadata onboarding, integration, and governance processes

• Stakeholder management and delivery ownership across multiple teams

Key Responsibilities

• Lead developers supporting the Pantheon Metadata platform and related services

• Own end-to-end delivery of metadata onboarding and enhancement initiatives

• Design scalable metadata management solutions and automation capabilities

• Collaborate with architecture, infrastructure, and application teams for enterprise integration

• Participate in solution design reviews and establish development best practices

• Prioritize enhancements with business stakeholders and manage delivery commitments

• Provide production support, troubleshooting, and platform stability improvements Wissen Technology

• Drive modernization initiatives related to metadata lifecycle management

🚨 Hiring: Salesforce Developer

Experience: 3–5 Years

Location: Bangalore | Hyderabad | Chennai | Mumbai | Pune | Ahmedabad

Work Mode: Hybrid – 2 Days Work From Office Mandatory

Contract: 6 Months

Notice Period: Immediate Joiners Preferred

Shift: 2 PM – 11 PM IST

Interview: 1 Round In-Person Interview Mandatory

Role Summary

We are looking for a Salesforce Developer with strong hands-on experience on the Salesforce Platform. The ideal candidate should have solid Salesforce fundamentals, be a quick learner, self-driven, and able to contribute independently with minimal supervision.

The role will be responsible for delivering scalable and maintainable Salesforce solutions for the Prism project.

Required Technical Skills

• Strong experience in Salesforce Platform Development

• 2+ years hands-on Salesforce Platform experience

• Lightning Web Components (LWC)

• Apex – Classes, Triggers, Batch Apex, Queueable Apex

• JavaScript

• Java – good understanding of OOP concepts

• Salesforce Data Model

• SOQL / SOSL

• Governor Limits and Performance Optimization

• Salesforce Security – Profiles, Permission Sets, Sharing Rules

• Salesforce Integrations and APIs are a plus

Key Responsibilities

• Design, develop, and enhance Salesforce solutions using LWC and Apex

• Build reusable and scalable components following Salesforce best practices

• Collaborate with functional teams to understand business requirements and translate them into technical solutions

• Perform unit testing, debugging, and code reviews

• Participate actively in Sprint activities and deliver tasks independently

• Quickly learn new Salesforce features, business processes, and platform enhancements

• Identify issues proactively and suggest improvements

• Work independently with minimal supervision

• Troubleshoot technical issues and optimize Salesforce solutions

• Maintain ownership of assigned tasks and deliver within timelines

Required Soft Skills

• Quick learner with a positive and driven attitude

• Strong problem-solving and analytical skills

• Good communication and collaboration skills

• Ability to work independently

• Strong ownership mindset

• Commitment to delivery timelines

Job Summary – Axiom Technical Analyst

🔹 Experience: 5+ Years

🔹 Skill Set: Axiom + SQL + ETL

🔹 Locations: Bangalore / Hyderabad

🔹 Notice Period: Immediate to 15 Days Joiners Preferred

Required Skills:

🔹 Strong hands-on experience in Axiom

🔹 Good knowledge of SQL and database concepts

🔹 Hands-on experience with ETL processes

🔹 Experience in data extraction, transformation, and loading

🔹 Good understanding of data integration and data processing

🔹 Experience in developing, maintaining, and troubleshooting data workflows

🔹 Strong analytical and problem-solving skills

🔹 Good communication and collaboration skills

🔹 Ability to troubleshoot technical issues and support application/data processes

🔹 Understanding of SDLC and Agile methodologies

We are looking for a Software Development Engineer – 1 to join our engineering team. The role involves developing

and maintaining backend and/or full-stack product features using JavaScript / TypeScript and Node.js, building APIs

and integrations, working with databases and asynchronous workflows, debugging production issues, and contributing

to automated testing and engineering quality.

Key Responsibilities

• Develop, test, deploy, and maintain backend and/or full-stack product features using JavaScript / TypeScript and

Node.js.

• Design and implement REST APIs and internal or external system integrations.

• Work with relational and/or NoSQL databases for data modelling, querying, validation, and persistence.

• Build user-facing interfaces using JavaScript / TypeScript frameworks where required.

• Implement automated unit, integration, and API tests and contribute to overall code quality.

• Work with asynchronous jobs, queues, webhooks, and third-party integrations where required.

• Investigate defects and production issues, identify root causes, and implement reliable fixes.

• Use logs, metrics, and debugging tools to identify and resolve application failures.

• Collaborate with product and engineering stakeholders to clarify requirements, edge cases, and implementation

details.

• Use AI-assisted development tools effectively while understanding, reviewing, testing, and taking ownership of

generated code.

Hiring: Mainframe DB2 Developer / SQL Server Developer

Experience: 5+ Years

Role: IT Developer / Development Lead

We are looking for experienced developers with strong expertise in Mainframe technologies and SQL Server to design, develop, maintain, and optimize enterprise applications. The role involves database development, performance tuning, stored procedures, and backend application support within a Wealth Management Technology environment.

Must-Have Skills:

• Mainframe
• COBOL
• DB2
• SQL
• JCL

Key Responsibilities: Develop and maintain Mainframe applications, build and optimize database objects and complex SQL queries, troubleshoot performance issues, collaborate with global teams, and deliver secure, high-quality solutions.

 Significant, hands-on experience with FircoSoft, including deep knowledge of:

   o    Continuity V6

   o    Screening Preparation

   o    Firco Utilities

• Strong development and configuration expertise using:

   o    Java, J2EE, Spring Boot

   o    IBM MQ, Kafka

   o    Shell Scripting

   o    Oracle SQL & PL/SQL

   o    Microservices and messaging technologies

• Proven experience delivering and supporting FircoSoft solutions in large, complex, enterprise environments

• Strong understanding of sanctions screening workflows and data processing at scale

• End-to-end knowledge of the SDLC, including production support and operational resilience

• Practical experience or formal training in Kubernetes and AWS concepts

• Hands-on exposure to CI/CD pipelines (e.g., Jenkins), application resiliency, and security best practices

Java Full Stack Developer

Company: DevCare Solutions Pvt. Ltd.

Location: Urapakkam, Chennai

Job Summary

DevCare Solutions is looking for a skilled Java Full Stack Developer with hands-on experience in developing scalable web applications using Java-based backend technologies and modern frontend frameworks. The ideal candidate should be comfortable working across the complete software development lifecycle.

Key Responsibilities

·        Design, develop, test, and maintain scalable web applications.

·        Develop backend services and RESTful APIs using Java, Spring Boot, and related frameworks.

·        Build responsive user interfaces using Angular or React.

·        Work with relational databases such as MySQL, PostgreSQL, or Oracle.

·        Write clean, reusable, maintainable, and efficient code.

·        Collaborate with cross-functional teams to deliver quality software solutions.

·        Troubleshoot application issues, optimize performance, and participate in code reviews.

·        Use Git and build/deployment tools to manage source code and application releases.

Mandatory Skills

·        Strong proficiency in Core Java and OOP concepts.

·        Hands-on experience with Spring Boot and REST APIs.

·        Experience with Angular or React.

·        Knowledge of HTML, CSS, JavaScript, and TypeScript.

·        Experience with SQL and relational databases.

·        Familiarity with Git, Maven/Gradle, and debugging.

Good to Have

·        Microservices architecture.

·        Hibernate/JPA.

·        AWS, Azure, or other cloud platforms.

·        Docker, Kubernetes, and CI/CD pipelines.

·        Agile/Scrum development experience.

Education

Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

1st virtual , 2nd round F2F -

Python pyspark, SQL, data engineer

5+yrs

Bang/hyderabad

immediate to 15days.

Job Summary:

The Mobile Software Engineer will design, develop, and evolve mobile applications for Telular’s Fleets IoT platform. Working with a collaborative product and engineering team, you will deliver secure, reliable experiences that help customers perform critical fleet-management activities as part of their daily operations. You will play a key role in shaping the mobile architecture, implementation approach, and development environment, applying deep knowledge of C#, .NET MAUI, REST APIs, service-oriented architecture, and object-oriented programming.

Key responsibilities include:

• Design, architect, implement, test, release, and support secure, reliable mobile applications and their integration with Fleets platform services.

• Own mobile features throughout their lifecycle, from discovery and technical design through development, release, monitoring, support, and continuous improvement across supported iOS and Android devices.

• Develop high-level product specifications with attention to system integration and feasibility.

• Collaborate with product managers, UX designers, backend engineers, quality engineers, and customer-facing teams to translate fleet-management workflows and customer feedback into intuitive, accessible mobile experiences.

• Define mobile architecture, technology choices, development workflows, coding standards, reusable components, and integration patterns that support maintainability, scalability, security, and consistent behavior across platforms.

• Improve delivery speed, application quality, and operational reliability through automated builds, testing, release pipelines, telemetry, and targeted process improvements.

• Communicate architecture decisions, technical trade-offs, coding guidelines, and implementation plans clearly to engineers and cross-functional partners.

• Participate actively in Agile planning, estimation, design reviews, code reviews, retrospectives, and DevOps practices that improve team delivery and product quality.

Qualifications:

• Expertise in software engineering practices (e.g., reading/generating software specs, design patterns, continuous integration)

• Bachelor’s degree in computer engineering or computer science. Master’s degree in computer science preferred.

• 7+ years of hands-on software engineering experience, including responsibility for mobile architecture and technical decisions across the application development lifecycle.

• Demonstrated experience building, signing, testing, releasing, and supporting production-grade mobile applications, including secure coding, authentication, data protection, API integration, performance optimization, and mobile cybersecurity best practices.

• Proven hands-on expertise using iOS TestFlight and/or Closed Testing Tracks for Android.

• Hands-on experience developing cross-platform mobile applications with C# and .NET MAUI, including platform-specific integration and debugging for iOS and Android.

• Experience developing native mobile applications or platform-specific

components using Swift and SwiftUI for iOS and Kotlin and Jetpack Compose for Android, including native SDK integration, platform APIs, application lifecycle management, performance optimization, debugging, and interoperability with cross-platform .NET MAUI code.

• Experience developing and troubleshooting Bluetooth Low Energy (BLE) integrations for iOS and Android, including device discovery, pairing, GATT services and characteristics, permissions, background connectivity, data exchange, connection reliability, and interoperability with connected IoT or telematics devices.

• Practical experience with C#, RESTful APIs, SQL or NoSQL data stores, and ASP.NET Core services that integrate with mobile applications.

• Experience applying object-oriented design, service-oriented architecture, asynchronous programming, dependency injection, and resilient API-integration patterns in production software.

• Experience working in an Agile Scrum environment.

• Demonstrable ability to own and deliver projects and results of increasing technical complexity.

• Excellent communication skills, both written and verbal.

Additional experiences considered highly beneficial:

• Practical application of C#, SQL or NoSQL, ASP.NET MVC / CORE.

• Experience with Git-based workflows, GitOps practices, automated code-quality checks, and AI-assisted development tools such as GitHub Copilot.

• Experience applying AI-assisted development tools to code review, optimization, quality checks, change-impact analysis, unit test generation, debugging, log analysis, and overall productivity improvement.

• Experience with Docker, Kubernetes, and AWS environments that host or support APIs and services consumed by mobile applications.

• Good understanding of Analysis Services (OLAP) and reporting technologies.

• Experience with M2M, IoT, telematics, fleet management, or other connected device platforms.

• Experience using PostgreSQL databases.

Hiring: Technical Project Manager / Risk Business Analyst

Location: Bangalore / Mumbai

Experience: 8–10 Years

Employment Type: Full-Time

Job Description:

We are looking for an experienced Technical Project Manager / Risk Business Analyst to manage the ORS roadmap, backlog prioritization, project delivery, and risk-related business requirements. The role involves collaborating with business, risk, trading, and technology teams, managing dependencies, tracking KPIs, preparing business cases, and presenting updates to senior stakeholders.

Must-Have Skills:

• Project Management
• Risk Management
• Business Analysis
• JIRA / JIRA Cloud
• SQL
• Roadmap Planning

Good-to-Have Skills:

Front-to-Back Risk, FRTB, Stress Testing, ETL Tools, Excel, PowerPoint, Dataiku, Big Data, Data Analytics, and Data Governance.

Immediate Joining

We are looking for a Dedicated Resource on Contract for –

Role: Data Engineer

Experience: 5+ Years

Location: Remote

Duration: 3+ Months

Strong hands-on experience with Snowflake, including writing SQL queries, creating views, stored procedures, and functions.

Good knowledge of AI tools such as Claude.

Experience with ETL tools like Alteryx is good to have.

Power BI experience is good to have.

Strong communication skills.

About the Role

We are hiring a Backend Engineer to build and operate the services that power a leading technology marketplace being relaunched under new ownership.

You will work behind the GraphQL federation, inside the ~40 microservices that own billing, subscriptions, the catalog, RBAC, the proxy's control plane, and the Analytics/Quota services. The runtime is Node.js/TypeScript on AWS EKS, with Aurora MySQL / Postgres and DynamoDB for state, Redis / Elasticache / Couchbase for caching, Kafka (MSK) and Kinesis as the event backbone, and ClickHouse for real-time analytics reads. Every consumer-to-provider call passes through the proxy your services configure, and every dollar of marketplace revenue flows through the commerce code your services own.

Roles and Responsibilities

• · Build and operate services — Design, ship, and run Node.js/TypeScript services that sit behind the GraphQL federation. Own a slice of the ~40-service estate end-to-end: API design, schema, persistence, tests, deployment, on-call.
• GraphQL federation subgraphs — Add types, resolvers, and capabilities to the federated Platform API. Keep subgraph boundaries clean; respect RBAC at the federation enforcement layer.
• Commerce backbone — Build the subscription, invoicing, overage, dispute, and payout flows that integrate with Stripe and PayPal webhooks and the billing state machine. Make sure metering, billing, and payouts stay accurate, auditable, and replayable.
• Proxy control plane — Build the management APIs and background workers that configure the runtime proxy: API keys, plans, rate-limit policies, quota caches, abuse signals.
•  Event-driven systems — Produce and consume Kafka and Kinesis events safely: schema evolution, idempotency, retries, dead-letter handling. Operate Lambda consumers where they're the right tool.
• Data services — Help own the Node.js Analytics Service and Quota Service that front ClickHouse and Snowflake. Keep latency low, queries cheap, and authorisation correct.
• Performance and reliability — Diagnose hot paths, tune queries, add caches where they matter, and remove caches that have become liabilities. Write the SLOs and the alerts that defend them.
•  Security isolation — Implement OAuth2 / JWT / mTLS where they belong; respect least-privilege; design APIs that fail closed.
• On-call and incident response — Take part in the rotation. Lead investigations across services when something rooted in your area breaks.
• LLM-assisted engineering — Use LLM-based coding and agentic tooling to evolve how features are designed, reviewed, and tested.

What Success Looks Like

•    Services you own meet their SLOs, deploy multiple times a day, and rarely wake anyone up.

•    Billing, subscription, overage, and payout flows you ship are accurate to the cent, replayable, and trusted by both providers and consumers.

•    GraphQL subgraphs you maintain stay fast, well-typed, and pleasant to extend.

•    Event pipelines you produce and consume are idempotent, observable, and survive replay and back-pressure.

•    The first generation of agent-native primitives you help build land in production and start carrying real agent traffic.

What You Bring

•    5–8 years of backend engineering experience, with non-trivial work on production services that real customers depended on.

•    Strong TypeScript / Node.js in a production service environment; comfort with async patterns, streams, and back-pressure.

•    Solid API design — REST and GraphQL (ideally federation: Apollo Federation, Mercurius, or similar). Schema design, persisted queries, performance tuning.

•    Production fluency with SQL — MySQL and/or Postgres. Bonus for Redis or ClickHouse.

•    Experience with event-driven systems — Kafka or similar. You understand idempotency, exactly-once myths, and consumer lag.

•    Hands-on AWS (EKS, MSK, Kinesis, DynamoDB, Lambda, DMS) and Kubernetes. Comfortable reading and writing Terraform.

•    Modern engineering practice: observability, feature flags, CI/CD, and safe rollouts.

•    Care for correctness on the money path — you have shipped billing, metering, or payment code before and have the scars to show for it.

•    Bonus: experience with API gateways, rate limiting, quota enforcement, usage metering, agent protocols (MCP, A2A, x402), or LLM-based developer tooling.

•    You write small, reviewable PRs. You add the test before you fix the bug. You would rather ship a smaller thing well than a bigger thing badly.

Node.js Developer

Location: Chennai – Taramani

Experience: 1–5 Years (minimum 2 years of relevant Node.js experience preferred)

Employment Type: Contract

Duration: 6+ Months

Joining: Immediate Joiners Only

Job Summary

We are looking for a Node.js Developer with hands-on experience in developing scalable backend applications, building RESTful APIs, and working with databases and third-party integrations. The ideal candidate should have strong JavaScript skills and knowledge of backend development best practices.

Key Responsibilities

• Design, develop, test, and maintain server-side applications using Node.js.
• Develop RESTful APIs and backend services.
• Integrate third-party APIs and external services.
• Write clean, reusable, and maintainable code.
• Work with databases and optimize queries where required.
• Implement authentication and authorization mechanisms.
• Troubleshoot, debug, and resolve application issues.
• Collaborate with frontend developers, QA engineers, and business teams.
• Participate in code reviews and Agile/Scrum activities.
• Maintain technical documentation.

Required Skills

• Hands-on experience with Node.js.
• Strong knowledge of JavaScript (ES6+) and asynchronous programming.
• Experience with Express.js or NestJS.
• Good understanding of REST APIs.
• Knowledge of authentication mechanisms such as JWT and OAuth.
• Experience with SQL databases such as MySQL or PostgreSQL.
• Familiarity with MongoDB is an advantage.
• Understanding of API security and backend development best practices.
• Experience with Git and version control.

Preferred Skills

• Knowledge of Docker and containerization.
• Exposure to AWS, Azure, or Google Cloud.
• Familiarity with Redis and caching mechanisms.
• Exposure to CI/CD pipelines.
• Understanding of microservices architecture.
• Basic knowledge of frontend technologies such as Angular or React.

Interested candidates can share their updated resumes along with their current CTC, expected CTC, notice period, and availability to join.

Job Description

We are looking for an experienced ETL Developer with strong expertise in ETL development, Hadoop, PySpark, Python, and SQL. The candidate should have hands-on experience in developing data pipelines, processing and transforming large datasets, and working with data warehousing and big data technologies.

Key Responsibilities

• Design, develop, and maintain ETL processes and data pipelines.
• Work with Hadoop and PySpark to process and transform large volumes of data.
• Develop and optimize Python scripts for data processing and automation.
• Write complex SQL queries for data extraction, transformation, and validation.
• Perform data cleansing, integration, transformation, and validation.
• Work with data warehousing concepts and large-scale data processing systems.
• Optimize ETL workflows for performance, scalability, and reliability.
• Troubleshoot data pipeline failures and resolve data quality issues.
• Collaborate with data engineers, analysts, and other technical teams.
• Follow data governance, quality, and development best practices.

Required Skills

• Strong experience in ETL Development – Mandatory
• Hands-on experience with Hadoop – Mandatory
• Strong experience in PySpark – Mandatory
• Good programming skills in Python – Mandatory
• Strong knowledge of SQL – Mandatory
• Experience in Data Processing and Transformation – Mandatory
• Knowledge of Data Warehousing – Mandatory
• Experience with Big Data Technologies – Mandatory

Opportunity Details

Role: ETL Developer – Hadoop & PySpark

Experience: 6–10 Years

Location: Bangalore

Mandatory Skills

ETL Development | Hadoop | PySpark | Python | SQL | Data Processing & Transformation | Data Warehousing | Big Data Technologies

We are seeking talented software developers who are passionate about coding and building & scaling

products. If you love taking on new challenges and have a problem solving mindset to solve problems through

code, you will be a perfect fit for our rockstar engineering team.

Roles and Responsibilities:

● Design and develop backend architectures to support robust, scalable, and secure web applications and

systems with a focus on backend development using Django.

● Design, implement and maintain high quality RESTful APIs to support seamless communication between

frontend, backend and other services.

● Design, implement, and maintain database schemas. Ensure the integrity, performance, and security of

data.

● Ensure the scalability and reliability of our backend infrastructure on AWS. Ensure reliable management of

infrastructure on cloud aiming for 0 downtime of systems.

● Write clean, maintainable, and efficient code, while adhering to best practices and industry standards.

Develop and maintain documentation for our backend systems, APIs, and data models.

● Conduct high quality code reviews and provide feedback to other team members to ensure best practices

are adhered to.

● Take ownership of the development, testing, and deployment of web applications. Break down high-level

business problems into smaller chunks and build systems.

● Work closely with the frontend development team, product managers, and designers to plan new features

and optimize existing ones.

● Constantly aim to improve performance and optimize systems by identifying bottlenecks and resolving

them for increased efficiency.

● Stay up-to-date with the latest technologies such as LLMs, and implement them as and when required

Skills and Qualifications:

● Bachelor's degree in Computer Science, Computer Engineering or a related field.

● 4+ years of experience in full-stack web development, with a focus on backend development.

● Strong proficiency in Python and Django, including experience with Django Rest Framework.

● Experience working with SQL/PostgreSQL databases, including schema design, querying, and

optimization.

● Proficiency in AWS services such as EC2, RDS, S3, and Lambda.

● Familiarity of integrations with third party services and open source frameworks

● Strong understanding of data structures, algorithms, and software design patterns.

● Experience with containerization and orchestration technologies such as Docker and Kubernetes is a plus.

● Familiarity with LLM frameworks such as Langchain, OpenAI, Anthropic, LLaMa is a plus.

● Strong problem-solving skills and ability to work in a fast-paced environment.

● Excellent communication and collaboration skills.