50+ SQL Jobs in India

About Us

We believe the future of software development is AI-native — where engineers operate at a higher level of abstraction and quality remains non-negotiable. 

Incubyte is a software craft consultancy where the “how” of building software matters as much as the “what”.  

We partner with companies of all sizes, from helping enterprises build, scale, and modernize to early-stage founders bring their ideas to life. 

Our engineers operate in an AI-native development model, using AI as a collaborator across the SDLC to accelerate development while upholding the discipline of software craftsmanship. Guided by Software Craftsmanship and Extreme Programming practices, we build reliable, maintainable, and scalable systems with speed, without compromising quality. If this way of building software resonates with you, we’d like to talk. 

Our Guiding Principles 

These principles define how we work at Incubyte. They are non-negotiable. 

Relentless Pursuit of Quality with Pragmatism 

  We build high-quality systems without losing sight of delivery. 

Extreme Ownership 

  We take responsibility end-to-end for decisions, execution, and outcomes. 

Proactive Collaboration 

  We collaborate closely, challenge each other, and solve problems together. 

Active Pursuit of Mastery 

  We continuously improve our craft and raise our bar. 

Invite, Give, and Act on Feedback 

We seek, give, and act on feedback to get better every day. 

Ensuring Client Success 

We act as trusted partners and focus on real outcomes, not just output. 

Job Description

This is a remote position.

Experience Level

This role is ideal for a Test Craftsperson (Automation QA Engineer) with 3+ years of hands-on experience. We are looking for a skilled, detail-oriented professional with a strong foundation in testing methodologies, an adaptable mindset, and an eagerness to leverage modern tools.

Role Overview

We’re on the hunt for Test Craftspeople who take pride in their work and the code they write. If you believe in and evangelize XP principles, and if you are motivated and passionate about forming great teams, we want you!

We look for engineers who are technology-agnostic—while you have strong foundational skills, you aren't tied to a single tool and can easily adapt to evolving tech stacks. Additionally, you possess great AI expertise, utilizing AI assistants responsibly to augment, accelerate, and elevate your testing strategies.

We strongly adhere to being a DevOps organization, where developers and testers own the entire release cycle. This means you will get to work on programming languages, infrastructure technologies in the cloud, client communication, and everything in between.

What You’ll Be Doing

Own End-to-End Testing: Manage testing initiatives throughout the entire Software Development Life Cycle (SDLC) within a continuous deployment environment.

Functional and Automated Testing: Run functional and automated tests, identify test conditions, and develop comprehensive test scenarios.

Test Automation Frameworks: Create, maintain, and evolve test automation frameworks using modern tools.

Leverage AI Responsibly: Use AI tools to optimize test case generation, analyze bug patterns, and accelerate documentation workflows, while maintaining human-in-the-loop quality control.

Understand User Behavior: Focus on user behavior to enable rapid rollouts of new features and fixes. Act as the user’s representative to ensure stability, integrity, and predictability of the system in production.

Business Analyst Collaboration: Understand the system deeply to identify and suggest process improvement opportunities, write user stories, understand the product roadmap, and plan sprints with the team.

Lifelong Learning: Make a pledge to never stop learning and continuously improve your skills.

Requirements

What we are looking for

Core Attributes

• Integrity: Strong character, diligence, and a deep commitment to excellence.
• Tech-Agnostic Mindset: The ability to look past specific tools, quickly adapting to different programming languages, testing frameworks, and tech stacks as project needs change.
• AI Tool Fluency (Manual Testing): Practical experience using AI tools (like ChatGPT, Claude, or specialized QA assistants) to brainstorm edge cases, write smarter test cases, generate mock data, and accelerate documentation workflows.
• AI Tool Fluency (Test Automation): Hands-on experience leveraging AI-powered coding assistants (such as GitHub Copilot, Claude Code, or Cursor) to accelerate test script creation, debug automation failures, and maintain automation frameworks more efficiently.
• Ownership: A strong sense of ownership and an obsessive drive to deliver quality products.

Technical Competencies

Current Baseline Stack: Hands-on experience with either Cypress or Playwright as an automation framework, and JavaScript as a core programming language.

Automation & BDD: Experience developing test automation frameworks from scratch; expertise with Behavior Driven Development (BDD) using Cucumber/Gherkin.

Software Engineering Foundation: Knowledge of object-oriented programming, software engineering methodologies, and web technologies (HTML, jQuery).

Data & Infrastructure: Proficiency in writing SQL queries to validate data, alongside a solid understanding of Linux commands and maintaining test servers.

DevOps Mindset: Strong interest in mastering DevOps technologies and CI/CD tools (e.g., Jenkins, Bamboo, GitHub Actions).

Agile/XP Experience: Working knowledge of Agile and eXtreme Programming methodologies (like pair testing/programming).

Benefits

Life at Incubyte

We are a remote-first company with structured flexibility. Teams commit to shared rhythms during core hours, ensuring smooth collaboration while maintaining autonomy. Twice a year, we come together in person for a co-working sprint and once a year for a retreat - with all travel expenses covered.

Perks

​

Dedicated learning & development budget.

Sponsorship for conference talks.

Comprehensive medical & term insurance.

Employee-friendly leave policies.

Home Office fund

Medical Insurance

Our environment is built for crafters: pairing, refactoring, experimenting with AI, and pushing the boundaries of software excellence. We are all lifelong learners, and our work is our passion.

Position: Laravel Developer

Company: Mayura Consultancy Services

Experience: 2 yrs

Location: Bangalore

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

Work Location: Work From Home (WFH)

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

Requirements:

• Prior experience in Full Stack Development using PHP Laravel.

Perks of Working with MCS:

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

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

Role Overview

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

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

Key Responsibilities

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

Required Technical Skills

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

Remote & Soft Skills

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

Nice-to-Haves

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

Key Responsibilities 

• Design, develop, and optimize ETL/ELT pipelines for handling massive datasets using Python, Java & Spark for batch and real-time streaming. 
• Build and maintain data architectures including data lakes, warehouses (e.g., Snowflake, DB2). 
• Implement data modeling (star/snowflake schemas), ensure data quality, lineage tracking, and reliability engineering practices. 
• Collaborate with data scientists, analysts, and stakeholders to translate requirements into robust data solutions while optimizing for cost and performance. 
• Deploy and monitor pipelines on cloud platforms (AWS/GCP/Azure) with CI/CD. 
• 
  

Required Qualifications 

• Bachelor’s/Master’s in Computer Science, IT, or related field. 
• 3-5 years in data engineering, with strong emphasis on data-intensive environments. 
• Proficiency in Python, Java (core for data apps), SQL/NoSQL, PySpark/Spark, Kafka for streaming. 
• Experience with big data tools, cloud data services, and ETL frameworks (Airflow, dbt) 

🚨 Hiring: Microsoft Dynamics GP Developer | Remote (India)

📍 Remote | 🕒 US Shift | 📅 3 Months Contract

Looking for candidates with:

✅ Microsoft Dynamics GP (2018–2025)

✅ Dexterity Programming

✅ MS SQL Server

✅ GP Upgrade & Troubleshooting Experience

👨‍💻 Experience: 4+ Years

About the Role

We are looking for an analytical and detail-oriented Data Scientist with deep expertise in graph analytics, network analysis, and scalable data engineering. This is not a conventional machine learning role — the focus is on understanding complex relationships, structures, and patterns within large-scale datasets using graph-based methods and statistical modeling. You will work in a collaborative, fast-paced environment and be expected to contribute across the full data lifecycle — from raw data exploration through to production-grade analytical systems.

This is a full-time, in-office role based out of our Pune office (5 days a week).

Key Responsibilities

Graph Analytics & Network Analysis

• Design and implement graph-based models to identify patterns, clusters, communities, and relationships within complex datasets.

• Apply network analysis techniques using metrics such as clustering coefficient, degree assortativity, density, Gini index, and small-world index.

• Perform multi-hop network traversals and community detection using algorithms such as Louvain partitioning and similar graph clustering approaches.

• Build and query graph databases (Neo4j, ArangoDB) using Cypher Query Language to extract structural insights from connected data.

• Leverage GPU-accelerated graph libraries (cuGraph) to scale graph computations across large datasets efficiently.

Data Engineering & Pipeline Development

• Conduct thorough Exploratory Data Analysis (EDA) on large-scale structured and semi-structured datasets to surface quality issues, distributions, and key features.

• Build, optimize, and maintain scalable data pipelines and stored procedures across cloud data platforms such as BigQuery, PostgreSQL, or Hive.

• Automate data workflows using orchestration tools such as Apache Airflow or Kubeflow Pipelines.

• Apply GPU-accelerated computing (CUDA, CuPy, cuDF) to optimize processing performance on high-volume data workloads.

• Ensure data integrity, reproducibility, and documentation across all analytical workflows.

Statistical Modeling & Insight Generation

• Apply statistical modeling techniques to detect behavioral anomalies, trends, and patterns within datasets.

• Use time series analysis to identify temporal patterns and changes in data over time.

• Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders.

• Build dashboards and reports using visualization tools (e.g., Trino Superset) to communicate results effectively.

Collaboration & Documentation

• Work closely with product, engineering, and business teams to understand requirements and deliver relevant analytical solutions.

• Contribute to internal knowledge sharing through workshops, documentation, and peer reviews.

• Maintain well-documented codebases and analytical frameworks for long-term maintainability.

Required Skills & Qualifications

Must-Have

• 3+ years of experience in a Data Science, Data Analytics, or Graph Analytics role.

• Strong proficiency in Python with hands-on experience using NumPy, Pandas, CuPy, and cuDF.

• Practical experience with graph analytics libraries — NetworkX, cuGraph, Neo4j, or ArangoDB.

• Solid understanding of graph theory concepts: community detection, network metrics, graph traversal, and clustering algorithms.

• Proficiency in SQL; experience with BigQuery, PostgreSQL, MS SQL, Hive, or similar databases.

• Experience with GPU-based computing using CUDA for performance-critical data tasks.

• Strong analytical thinking and ability to work independently on ambiguous, open-ended problems.

Good to Have

• Experience with Cypher Query Language for querying graph databases (Neo4j / ArangoDB).

• Familiarity with graph ML frameworks such as PyTorch Geometric.

• Exposure to workflow orchestration tools — Apache Airflow or Kubeflow Pipelines.

• Knowledge of cloud data tools such as Trino, MinIO, or IBM Datastage.

• Basic scripting skills in Bash or C++ for automation or performance tasks.

• Experience presenting data insights to senior stakeholders or cross-functional teams.

• Research publications, patents, or open-source contributions in graph analytics or data science are a strong plus.

What We Offer

• Opportunity to solve high-impact, large-scale data problems using modern graph and analytics tools.

• Exposure to cutting-edge technologies including GPU-accelerated computing and graph ML.

• Collaborative, intellectually stimulating work environment with a strong engineering culture.

• Competitive compensation with performance-based incentives.

• Learning & development support — certifications, courses, and conference participation.

• Centrally located Pune office with a structured, in-person team culture.

Job Title: L1, L2 Javascript Support Roles

Location: Bangalore. Mode: Work from Office.

Experience: Min 1+ years.

Company Description

TopGrep Tech, an ISO 27001:2022 and DPIIT-certified IT pure tech product & services company. We work with global enterprises & startups, covering SaaS, MVPs, AI, RAG, MCP, reliability engineering, DevOps, and cloud innovation.

Role Description

We are looking for engineers to join our Customer Engineering team, focused on a low-code platform. This role is tailored for engineers who love debugging, diving deep into JavaScript code, query optimization, customer-facing problem-solving and automating the regular tasks.

Key Responsibilities  

Debugging & Development  

• Investigate and resolve customer-reported issues in a JavaScript + JSON low-code environment. Identifying, fixing bugs, and implementing enhancements to improve product performance, reliability, and usability.
• Understand and trace workflow execution paths, analyze payloads, and isolate breaking logic.
• Be flexible to support customers worldwide.
• Creating and maintaining documentation related to program development, logic, coding, testing, and changes.
• Implementing limited design changes or enhancements to improve performance, address obsolescence, or meet new requirements.
• Creating and maintaining documentation related to program development, logic, coding, testing, and changes.  Identifying opportunities to improve existing processes and procedures related to product sustenance.

Cross-Team Collaboration  

• Partner with customer success, and solution/engineering teams to triage and close issues faster.
• Provide feedback from field operations to improve product robustness.
• Participate in postmortems and continuous improvement cycles.

Ability to drive outcomes and meet delivery milestones while coordinating across multiple teams and managing interdependencies.

Required Skills:  

• 3+  years in Solution Development or Engineering roles.
• Strong grasp of JavaScript, JSON handling, and API interactions.
• Knowledge of SQL and ability to debug query bottlenecks.
• Familiarity with observability stacks (Grafana, Loki, Tempo)
• Knowledge of AWS is required (although not a deal breaker)
• 
  

Desirable Skills:  

Exposure to the Field Service Management domain, or working in products that have workflows, debugging algorithms related to scheduling or work done on backend systems is an added advantage.

Why Join Us  

• Unique opportunity to form a front-facing layer that not only is the front-line to customer deployments, but also has the ability to work closely with Solution Architects and others to influence Product blueprints.
• Work across the full tech stack — from debugging backend services(Java, spring boot) to exploring front-end interfaces built with React and extending into mobile UI development.
• Build internal tools, fix production issues, and contribute to engineering stability, all while learning from experienced platform, product and solution engineers.
• Be part of a high-impact team that bridges engineering and customer experience, where your work helps improve both product quality and customer trust.

GCP Data Engineer 

Experience : 8 – 15 yrs

Grade : C2/D1

Skill – GCP + Python/Pyspark

NP : Immediate joiners

* 8+ years of hands-on experience in Python.

* 8+ years of hands-on experience in Data Engineering.

* 5+ Years of hands-on experience in GCP Big Query.

* Experience in building scalable data pipelines and automation frameworks.

* Experience migrating data and pipelines from SQL Server to GCP Big Query.

* Familiarity with CI/CD tools and Agile methodologies.

* Good understanding on Data Governance, Data Quality, Metadata, Lineage

* Expertise in Data Model design in Big query.

* Expertise in writing optimal Big query SQL and Stored Proc.

* Expertise in GCS Cloud Storage, Pub Sub. Cloud Composer, DAG, Apache Airflow, Data Flow, Data Proc, Data Plex, Cloud Run.

* Expertise in Vertex AI and Feature Store.

* Expertise in Spark and Apache Beam is desirable.

Email resumes to : naveenkb @ 10xscale.ai

Job Description: Java Developer for Trade Processing system

Project Duration: 2 years (with possible extension)

Overview

“Client” Japan is launching a 2+ years project to modernize its settlement processes which will require design and implement new Java-based interfaces with upstream and downstream systems, together with ETL processes that support trade-flow data across the Global Markets business. The project will create a modern, API-first, micro-services architecture, integrated with the more legacy system, while maintaining BAU coverage for existing applications.

We are looking for experienced Java consultants to:

•Build new application components, REST/SOAP APIs and integration flows.

•Design and develop ETL pipelines (e.g., using Apache Camel, Kafka, Spark, or commercial ETL tools).

•Integrate the new components and functions with the existing platform

•Provide back-fill support for BAU team members who transition to the project.

The role sits within the Global Markets IT and collaborates closely with on-shore teams in Tokyo and offshore team in India.

Key Responsibilities

# Responsibility

1.Develop high-quality, production-ready Java code (Java 8+) for new interfaces and micro-services.

2.Design, implement and document REST/SOAP APIs, following API-First principles and security best-practices.

3.Create and maintain ETL/ELT pipelines using tools such as Apache Camel, Kafka Streams, Spark, or commercial ETL suites.

# Responsibility

4.Integrate new applications with existing legacy system and database while ensuring no impact on existing flows

5.Participate in technical design workshops; contribute architecture proposals (service-oriented, event-driven).

6.Perform unit testing (JUnit, Mockito) and support integration-test activities; ensure code passes SonarQube/ Fortify quality gates.

7.Conduct peer-code reviews and mentor junior developers on Java, design patterns, and DevSecOps practices.

8.Collaborate with offshore and on-shore teams via daily stand-ups, sprint reviews and ad-hoc technical discussions (English).

9.Provide BAU back-fill support when required, ensuring continuity of existing trade-processing applications.

10.Escalate impediments promptly and propose mitigation actions.

11.Continuously improve development processes (CI/CD pipelines, automated testing, static analysis).

Required Skills & Experience, Area, Requirement

Java Development ≥ 5 years of professional experience in Java 8+ (Core, Streams, Concurrency).

Frameworks Strong knowledge of Spring Boot, Spring Framework, Hibernate/JPA.

API Design Experience designing and implementing RESTful and SOAP services.

ETL / Data Integration Hands-on experience with ETL tools or frameworks (Apache Camel, Kafka, Spark, Talend, Informatica, etc.).

Databases Proficient in SQL (Oracle, PostgreSQL, MySQL) and writing stored procedures.

Testing & Quality Unit-test expertise (JUnit, Mockito) and familiarity with SonarQube, Fortify, Nexus IQ.

DevSecOps Exposure to CI/CD tools (Bitbucket/Git, Jenkins, Artifactory).

Agile Practices Worked in Scrum/XP environments; comfortable with TDD and story-point estimation.

Communication Fluent English (written & spoken) for global collaboration.

Preferred Qualifications, Preference, Details

Micro-services & Event-Driven Architecture

Design/implementation experience with Kubernetes, Docker, Kafka, or similar.

API-Management Platforms

Experience with Apigee, Kong, or IBM API Connect.

Domain Knowledge

Understanding of trade-flow, settlement or other capital-markets processes.

Location & Benefits

Client India Solution office or possibly hybrid mode

We are seeking a highly skilled software developer with proven experience in developing and scaling education ERP solutions. The ideal candidate should have strong expertise in Node.js or PHP (Laravel), MySQL, and MongoDB, along with hands-on experience in implementing ERP modules such as HR, Exams, Inventory, Learning Management System (LMS), Admissions, Fee Management, and Finance.

Key Responsibilities

Design, develop, and maintain scalable Education ERP modules.

Work on end-to-end ERP features, including HR, exams, inventory, LMS, admissions, fees, and finance.

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

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

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

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

Required Skills & Qualifications

Strong expertise in Node.js and PHP (Laravel, Core PHP).

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

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

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

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

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

3+ years of professional development experience, with a minimum of 2 years in ERP systems.

Preferred Experience

Prior work in the education ERP domain.

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

Exposure to high-traffic enterprise applications.

Strong leadership, mentoring, and problem-solving abilities

Benefit:

Permanent Work From Home

Must have 3+ years of experience in Data Analytics / Data Analysis roles

Mandatory (Experience 2) – Strong hands-on expertise in SQL, Advanced Excel, Tableau, and Power BI

Mandatory (Experience 3) – Proven experience in data extraction, data cleaning, transformation, dashboarding, and reporting

Mandatory (Core Skills) – Expertise in SQL, Data Analysis, Data Visualization, Reporting, Statistical Analysis, Data Validation, and Dashboard Creation

Mandatory (Technical Skills) – Strong understanding of databases, large datasets, KPI reporting, and analytical techniques

Mandatory (Company) – Candidates from B2C product-based companies will be preferred OR working at or having prior experience with Mu Sigma will be given high priority

We are looking for an experienced Data Engineer with 4+ years of expertise in Python development, ETL processes, and Power BI reporting. The ideal candidate will be responsible for designing scalable data pipelines, optimizing data workflows, and delivering business intelligence solutions for data-driven decision-making.

Key Responsibilities

• Design, develop, and maintain robust ETL/data integration pipelines.
• Develop scalable data processing solutions using Python.
• Create and optimize complex SQL queries, stored procedures, and database solutions.
• Build interactive dashboards, reports, and data visualizations using Power BI.
• Integrate data from multiple sources including APIs, databases, and cloud platforms.
• Perform data cleansing, transformation, and validation to ensure data accuracy.
• Work closely with business and technical teams to gather reporting and analytics requirements.
• Monitor, troubleshoot, and improve data pipeline performance.
• Support data warehousing, reporting, and analytics initiatives.
• Mentor junior team members and contribute to best practices in data engineering.

Required Skills

• 4+ years of experience in Data Engineering or related roles.
• Strong hands-on experience in Python scripting and automation.
• Good experience with ETL processes and data pipeline development.
• Strong SQL skills with experience in relational databases.
• Hands-on experience in Power BI dashboard and report creation.
• Knowledge of data modeling and data warehousing concepts.
• Experience with APIs and data integration techniques.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.

Hiring for Dot Net Developer

Exp : 5 - 7 yrs

Edu : BE/B.Tech

Work Location : Gurugram WFO

Skills : .Net + SQL

Required Skills

• Basic knowledge of Windows and Linux administration and troubleshooting
• Understanding of networking fundamentals (IP addressing, DNS, DHCP, routing, and switching)
• Basic knowledge of SQL for querying and database troubleshooting
• Understanding of IIS, Apache Tomcat, and Web Services fundamentals
• Knowledge of troubleshooting methodologies and network security concepts
• Strong analytical and problem-solving skills
• Good verbal and written communication skills
• Ability to work effectively in a team environment
• Willingness to work in a 24x7 shift support environment

🎓 Qualification:

Bachelor's degree in computer science, Information Technology, Electronics, or a related field

🏅 Certifications such as CCNA are an added advantage.

Experience: 5 to 8 years 

Job Summary: 

• We are looking for an experienced Databricks Developer with a strong background in Spark/pyspark to design, develop, and optimize data processing applications. The ideal candidate will build scalable data engineering solutions and ensure seamless data flow across platforms. 
• Key Responsibilities: 
• Design, develop, and maintain scalable data processing applications using Python, PySpark and Spark. 
• Collaborate with data engineers, data scientists, and other stakeholders to understand business requirements and deliver high-quality solutions. 
• Ensure data integrity, performance, and reliability across all data processing pipelines. 
• Write clean, maintainable, and efficient code following best practices and coding standards. 
• Perform data analysis and implement data validation to ensure quality. 
• Monitor and troubleshoot performance issues in data workflows and pipelines. 
• Implement and manage CI/CD pipelines for automated testing, integration, and deployment. 

• Required Skills & Qualifications: 
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 
• Proven experience as a Databricks Developer, with strong expertise in Spark/Pyspark. 
• Proficiency in SQL and hands-on experience with relational databases. 
• Strong programming experience in Python and PySpark. 
• Familiarity with version control systems such as Git. 
• Strong analytical and problem-solving abilities. 
• Excellent communication and collaboration skills. 

About NonStop io Technologies:

NonStop io Technologies is a value-driven company with a strong focus on process-oriented software engineering. We specialize in Product Development and have a decade's worth of experience in building web and mobile applications across various domains. NonStop io Technologies follows core principles that guide its operations and believes in staying invested in a product's vision for the long term. We are a small but proud group of individuals who believe in the 'givers gain' philosophy and strive to provide value in order to seek value. We are committed to and specialize in building cutting-edge technology products and serving as trusted technology partners for startups and enterprises. We pride ourselves on fostering innovation, learning, and community engagement. Join us to work on impactful projects in a collaborative and vibrant environment. We're seeking an experienced Backend Software Engineer to join our team. As a backend engineer, you will be responsible for designing, developing, and deploying scalable backends for the products we build at NonStop. This includes APIs, databases, and server-side logic.

Responsibilities:

● Design, develop, and deploy backend systems, including APIs, databases, and server-side logic

● Write clean, efficient, and well-documented code that adheres to industry standards and best practices

● Participate in code reviews and contribute to the improvement of the codebase

● Debug and resolve issues in the existing codebase

● Develop and execute unit tests to ensure high code quality

● Work with DevOps engineers to ensure seamless deployment of software changes

● Monitor application performance, identify bottlenecks, and optimize systems for better scalability and efficiency

● Stay up-to-date with industry trends and emerging technologies; advocate for best practices and new ideas within the team

● Collaborate with cross-functional teams to identify and prioritize project requirements

Requirements:

● At least 5+ years of experience building scalable and reliable backend systems

● Strong expertise in NodeJS/NestJS, Express, PostgreSQL

● Experience with microservices architecture and distributed systems

● Proficiency in database design (SQL and NoSQL)

● Knowledge of cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines

● Deep understanding of design patterns, data structures, and algorithms

● Hands-on experience with containerization technologies like Docker and orchestration tools like Kubernetes

● Exceptional communication and leadership skills

● Strong understanding of object-oriented programming principles and design patterns

● Familiarity with automated testing frameworks and methodologies

● Excellent problem-solving skills and attention to detail

● Strong communication skills and ability to effectively lead and maintain a collaborative team environment

Role Overview

We are looking for a dynamic and detail-oriented ERP Functional Consultant / Implementation & Support Engineer who will be responsible for ERP implementation, user training, and ongoing client support.

Key Responsibilities

● Implement ERP applications at client locations

● Provide user-wise and department-wise training

● Understand and analyze client business requirements and map them in ERP

● Coordinate with internal and external stakeholders for data setup and documentation.

● Prepare user-defined reports and maintain proper documentation

● Handle end-to-end ERP implementation lifecycle.

● Provide post-implementation support and troubleshooting

● Work on modules like Sales, Purchase, Production, Inventory, Finance, HR, etc.

● Manage multiple projects simultaneously in a fast-paced environment

● Ensure timely project delivery and meet utilization targets

Required Skills & Competencies

● Strong analytical, functional, and communication skills

● Understanding of business processes, preferably in the manufacturing industry

● Basic knowledge of SQL (ability to write simple queries).

● Knowledge of ERP modules (Sales, Purchase, Inventory, Finance, HR, etc.)

● Ability to quickly learn new technologies and tools

● Strong problem-solving and multitasking abilities

● Ability to work independently as well as in a team

Eligibility Criteria

● Freshers or candidates with up to 2 years of experience

● Candidates with 2–3 ERP implementation projects preferred (for experienced roles)

● Good communication skills in English and Hindi & Tamil, Telugu, Kannada (regional language is an advantage).

Important Notes (Mandatory Conditions)

1. This is a 100% Work From Office role (No Hybrid / Remote option available)

2. Candidates must be open to travel across India and internationally based on project requirements (Male candidates preferred for travel roles).

3.Accommodation and food are not provided (except during client-site implementation).

Job Role: Java Full Stack Developer

Experience: 5-10 Years

Location: Mumbai (Onsite)

Job Overview:

We are looking for a skilled Java Full Stack Developer with 5-10 years of experience to join our team in Mumbai. The ideal candidate will have strong hands-on experience in backend development using Java, Spring Boot, and Microservices architecture, along with frontend development using React. You will be responsible for designing, developing, and maintaining scalable applications.

Key Responsibilities:

·      Design, develop, and maintain scalable full stack applications

·      Build robust backend services using Java, Spring Boot, and Microservices architecture

·      Develop responsive and user-friendly front-end applications using React

·      Collaborate with cross-functional teams including product, QA, and DevOps

·      Integrate APIs and work with databases to ensure seamless data flow

·      Participate in code reviews, debugging, and performance optimization

·      Ensure code quality, security, and best development practices

·      Contribute to architecture discussions and technical decision-making

Required Skills:

·      5–10 years of hands-on experience in software development

·      Strong proficiency in Java, Spring Boot, and Microservices

·      Solid experience with React.js for frontend development

·      Experience working with any relational or NoSQL databases

·      Good understanding of RESTful APIs and system design principles

·      Strong problem-solving and analytical skills

Preferred Skills (Good to Have):

·      Experience working on e-commerce platforms or products

·      Exposure to cloud platforms (AWS, Azure, or GCP)

·      Familiarity with CI/CD pipelines and DevOps practices

·      Knowledge of containerization tools like Docker/Kubernetes

Education:

·      Bachelor’s/Master’s degree in Computer Science or a related field

About the Company:

Pace Wisdom Solutions is a deep-tech Product engineering and consulting firm. We have offices in San Francisco, Bengaluru, and Singapore.

We specialize in designing and developing bespoke software solutions that cater to solving niche business problems.

We engage with our clients at various stages:

·      Right from the idea stage to scope out business requirements.

·      Design C architect the right solution and define tangible milestones.

·      Setup dedicated and on-demand tech teams for agile delivery.

·      Take accountability for successful deployments to ensure efficient go-to-market Implementations.

Pace Wisdom has been working with Fortune 500 Enterprises and growth-stage startups/SMEs since 2012. We also work as an extended Tech team and at times we have played the role of a Virtual CTO too. We believe in building lasting relationships and providing value-add every time and going beyond business.

Role Overview

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

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

Key Responsibilities

1. Leadership & Delivery

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

2. Product & Business Integration

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

3. Technical Execution

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

4. Business Intelligence & Data Storytelling

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

5. Agile Program Management

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

Qualifications

Required

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

Preferred

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

Key Traits

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

Quick Facts About the Role

Role:

Senior Software Developer (Backend) - .Net with Microservices & Cloud

YOE:

6.5+ years

Skills:

C#, ASP. Net, Microservices Architecture, ASP.NET Core, Web API development, Azure Kubernetes Service (AKS), API Gateway / Azure API, Entra (Authentication), Azure Service Bus, Azure Functions, Azure Blob storage, Caching, NoSQL Databases

About the Role

The Software Developer Senior Designs, builds, tests, and – most importantly – ships high-value software that solves real problems. Strives for security, performance, simplicity, usability, and maintainability. Mentors and guides less experienced software engineers.

Responsibilities

1. Team Contribution

• Works within established agile methods, promoting an atmosphere of continuous improvement.
• Continuously learns new technologies and patterns and practices.
• Documents knowledge for the benefit of the team.
• Reports to the team on obstacles and roadblocks.
• Participates in, and occasionally leads, sprint planning, standups, retrospectives, and other team meetings.
• Promote patterns and best practices on the team.
• Mentors and guides the less experienced software engineers.

2. Planning and Design

• Works with the product team and stakeholders to refine and document requirements.
• Estimates effort for planning purposes.
• Designs and documents enterprise-level software architecture, consulting with Enterprise Architecture when appropriate.

3. Development

• Writes code to develop software that meets requirements and specifications.
• Follows established software development life cycle (SLDC).
• Writes code with readability and future maintenance in mind.
• Follows established source control standards and best practices.
• Adheres to established secure coding practices.
• Reviews code for other developers.
• Leads team-based development efforts.

4. Quality Assurance

• Validates QA findings and fixes defects.
• Develops integration and testing points in the software that allow for QA testing.
• Assists QA in running performance and load tests.

5. Release

• Assists with release planning and releases.

6. Support

• Assists the support team as needed, including root cause analysis.
• Writes maintenance and metric statistics scripts and entry points for measuring and monitoring.

Requirements

Solid Understanding of The Following:

Microservices Architecture:

• Microservices design principles (bounded contexts, loose coupling)
• API-first design and contract management
• Event-driven design principles
• Asynchronous messaging patterns
• Eventual consistency concepts
• Idempotency and message replay handling

Technical Skills:

• ASP.NET Core Web API development
• Web Apps
• Azure Kubernetes Service (AKS)
• Azure Blob Storage usage and lifecycle management
• API Gateway / Azure API Management concepts
• Entra (Authentication)
• Azure Service Bus
• Azure Functions
• Caching
• NoSQL Databases

Processes & Standards:

Git, GitFlow, OO Programming, Kanban, Secure Coding, & Agile Methodologies

Bonus Skills

• Excellent written and verbal communication
• Excellent documentation
• Continuous learning
• Collaboration across team and functional boundaries
• Troubleshooting and creative problem solving
• Design simple architecture that supports complex applications and APIs
• Architect extensible databases
• Author complex component-based client applications and restful APIs
• Perform advanced CRUD operations against multiple data sources
• Manipulate enterprise level data structures
• Mentor less experienced team members
• Take ownership of team processes and legacy applications
• Perform business analysis tasks, such as requirements gathering and wireframing

Evaluation Criteria

• Consider candidates with 6.5+ years of experience only (do not go below this threshold).
• Must have excellent communication skills.
• Ensure the mandatory technical skills are clearly reflected in the resume:
• C# (async/await, dependency injection, LINQ)
• ASP.Net Core
• RESTful APIs
• Microservices Architecture
• ASP.NET Core
• Web API development
• Azure Kubernetes Service (AKS)
• API Gateway / Azure API
• Entra (Authentication)
• Azure Service Bus
• Azure Functions
• Azure Blob storage
• Caching
• NoSQL Databases
• Candidates should have at least 3 years of hands-on experience with Azure and Microservices.
• This Azure and Microservices experience must be from their current or a recent previous project.

Backend Skills

• Strong experience in Java 8/11/17
• Expertise in Spring Boot, Spring MVC, and Microservices Architecture
• Hands-on experience with REST APIs and Web Services
• Experience with Hibernate/JPA
• Good understanding of multithreading and design patterns

Frontend Skills

• Strong experience in React.js
• Proficiency in JavaScript, TypeScript, HTML5, CSS3
• Experience with Redux, Hooks, and component-based architecture
• Knowledge of responsive UI development

Database & Cloud

• Experience with SQL databases such as MySQL, PostgreSQL, or Oracle
• Knowledge of NoSQL databases is an added advantage
• Exposure to AWS/Azure/GCP cloud platforms preferred

Backend Skills

• Strong experience in C#, ASP.NET, ASP.NET Core, and .NET Framework/.NET Core
• Hands-on experience with Web APIs, REST Services, and Microservices Architecture
• Good understanding of Entity Framework and LINQ
• Experience with multithreading and design patterns

Frontend Skills

• Strong experience in Angular (Angular 10+ preferred)
• Proficiency in TypeScript, JavaScript, HTML5, CSS3, and Bootstrap
• Experience with Angular components, services, RxJS, and state management
• Knowledge of responsive and cross-browser UI development

Database & Cloud

• Strong knowledge of SQL Server and database optimization
• Exposure to NoSQL databases is an added advantage
• Experience with Azure/AWS cloud platforms preferred

Tools & Methodologies

• Git, Azure DevOps, Jenkins, Docker, Kubernetes
• CI/CD pipeline implementation experience
• Agile/Scrum methodologies

JIRA or similar project management tools

Work Schedule: 4 days work from office with rotational shifts, including night shifts as per business requirements.

Required Skills:

• Bachelor’s degree in Computer Science or similar field or equivalent work experience
• 3+ years of experience on Data Warehousing, Data Engineering or Data Integration projects
• Expert with data warehousing concepts, strategies, and tools
• Strong SQL background
• Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL
• Strong experience in GCP & Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS
• Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS)
• Good to have a Mainframe skillset
• Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources
• Experience in integration using APIs, XML, JSONs etc.
• In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework, data-warehousing and Data Lakes
• Good understanding of SDLC, Agile and Scrum processes
• Strong problem-solving, multi-tasking, and organizational skills
• Highly proficient in working with large volumes of business data and strong understanding of database design and implementation
• Good written and verbal communication skills
• Demonstrated experience of leading a team spread across multiple locations

Roles & Responsibilities:

• Work with business users and other stakeholders to understand business processes
• Ability to design and implement Dimensional and Fact tables
• Identify and implement data transformation/cleansing requirements
• Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse
• Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions
• Design, develop and maintain ETL workflows and mappings using the appropriate data load technique
• Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions
• Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use
• Analyze and resolve problems and provide technical assistance as necessary
• Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality
• Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions
• Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting & analytics
• Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions
• Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements
• Train business end-users, IT analysts, and developers

Data Engineer — AI / BI

Artificial Intelligence & Business Intelligence | Data & Analytics

Who We Are:

Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets.

What We Do:

At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions.

Position Overview

We are seeking a Databricks Engineer to design, build, and operate a Data & AI platform with a strong foundation in the Medallion Architecture (raw/bronze, curated/silver, and mart/gold layers). This platform will orchestrate complex data workflows and scalable ELT pipelines to integrate data from enterprise systems such as PeopleSoft, D2L, and Salesforce, delivering high-quality, governed data for machine learning, AI/BI, and analytics at scale.

You will play a critical role in engineering the infrastructure and workflows that enable seamless data flow across the enterprise, ensure operational excellence, and provide the backbone for strategic decision-making, predictive modeling, and innovation

Responsibilities:

Data & AI Platform Engineering (Databricks-Centric):

• Design, implement, and optimize end-to-end data pipelines on Databricks, following the Medallion Architecture principles.
• Build robust and scalable ETL/ELT pipelines using Apache Spark and Delta Lake to transform raw (bronze) data into trusted curated (silver) and analytics-ready (gold) data layers.
• Operationalize Databricks Workflows for orchestration, dependency management, and pipeline automation.
• Apply schema evolution and data versioning to support agile data development.

Platform Integration & Data Ingestion:

• Connect and ingest data from enterprise systems such as PeopleSoft, D2L, and Salesforce using APIs, JDBC, or other integration frameworks.
• Implement connectors and ingestion frameworks that accommodate structured, semi-structured, and unstructured data.
• Design standardized data ingestion processes with automated error handling, retries, and alerting.

 Data Quality, Monitoring, and Governance:

• Develop data quality checks, validation rules, and anomaly detection mechanisms to ensure data integrity across all layers.
• Integrate monitoring and observability tools (e.g., Databricks metrics, Grafana) to track ETL performance, latency, and failures.
• Implement Unity Catalog or equivalent tools for centralized metadata management, data lineage, and governance policy enforcement.

Security, Privacy, and Compliance:

• Enforce data security best practices including row-level security, encryption at rest/in transit, and fine-grained access control via Unity Catalog.
• Design and implement data masking, tokenization, and anonymization for compliance with privacy regulations (e.g., GDPR, FERPA).
• Work with security teams to audit and certify compliance controls.

   AI/ML-Ready Data Foundation:

• Enable data scientists by delivering high-quality, feature-rich data sets for model training and inference.
• Support AIOps/MLOps lifecycle workflows using MLflow for experiment tracking, model registry, and deployment within Databricks.
• Collaborate with AI/ML teams to create reusable feature stores and training pipelines.

Cloud Data Architecture and Storage:

• Architect and manage data lakes on Azure Data Lake Storage (ADLS) or Amazon S3, and design ingestion pipelines to feed the bronze layer.
• Build data marts and warehousing solutions using platforms like Databricks.
• Optimize data storage and access patterns for performance and cost-efficiency.

 Documentation & Enablement:

• Maintain technical documentation, architecture diagrams, data dictionaries, and runbooks for all pipelines and components.
• Provide training and enablement sessions to internal stakeholders on the Databricks platform, Medallion Architecture, and data governance practices.
• Conduct code reviews and promote reusable patterns and frameworks across teams.

  Reporting and Accountability:

• Submit a weekly schedule of hours worked and progress reports outlining completed tasks, upcoming plans, and blockers.
• Track deliverables against roadmap milestones and communicate risks or dependencies.

Required Qualifications:

• Hands-on experience with Databricks, Delta Lake, and Apache Spark for large-scale data engineering.
• Deep understanding of ELT pipeline development, orchestration, and monitoring in cloud-native environments.
• Experience implementing Medallion Architecture (Bronze/Silver/Gold) and working with data versioning and schema enforcement in enterprise grade environments.
• Strong proficiency in SQL, Python, or Scala for data transformations and workflow logic.
• Proven experience integrating enterprise platforms (e.g., PeopleSoft, Salesforce, D2L) into centralized data platforms.
• Familiarity with data governance, lineage tracking, and metadata management tools.

Preferred Qualifications:

• Prior UMGC or USM experience preferred.
• Experience with Databricks Unity Catalog for metadata management and access control.
• Experience deploying ML models at scale using MLFlow or similar MLOps tools.
• Familiarity with cloud platforms like Azure or AWS, including storage, security, and networking aspects.
• Knowledge of data warehouse design and star/snowflake schema modeling.

Equal Employer/Veterans/Disabled

Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources.

Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas.

Senior Full Stack Developer – Analytics Dashboard

Job Summary

We are seeking an experienced Full Stack Developer to design and build a scalable, data-driven analytics dashboard platform. The role involves developing a modern web application that integrates with multiple external data sources, processes large datasets, and presents actionable insights through interactive dashboards.

The ideal candidate should be comfortable working across the full stack and have strong experience in building analytical or reporting systems.

Key Responsibilities

• Design and develop a full-stack web application using modern technologies.
• Build scalable backend APIs to handle data ingestion, processing, and storage.
• Develop interactive dashboards and data visualisations for business reporting.
• Implement secure user authentication and role-based access.
• Integrate with third-party APIs using OAuth and REST protocols.
• Design efficient database schemas for analytical workloads.
• Implement background jobs and scheduled tasks for data syncing.
• Ensure performance, scalability, and reliability of the system.
• Write clean, maintainable, and well-documented code.
• Collaborate with product and design teams to translate requirements into features.

Required Technical Skills

Frontend

• Strong experience with React.js
• Experience with Next.js
• Knowledge of modern UI frameworks (Tailwind, MUI, Ant Design, etc.)
• Experience building dashboards using chart libraries (Recharts, Chart.js, D3, etc.)

Backend

• Strong experience with Node.js (Express or NestJS)
• REST and/or GraphQL API development
• Background job systems (cron, queues, schedulers)
• Experience with OAuth-based integrations

Database

• Strong experience with PostgreSQL
• Data modelling and performance optimisation
• Writing complex analytical SQL queries

DevOps / Infrastructure

• Cloud platforms (AWS)
• Docker and basic containerisation
• CI/CD pipelines
• Git-based workflows

Experience & Qualifications

• 5+ years of professional full stack development experience.
• Proven experience building production-grade web applications.
• Prior experience with analytics, dashboards, or data platforms is highly preferred.
• Strong problem-solving and system design skills.
• Comfortable working in a fast-paced, product-oriented environment.

Nice to Have (Bonus Skills)

• Experience with data pipelines or ETL systems.
• Knowledge of Redis or caching systems.
• Experience with SaaS products or B2B platforms.
• Basic understanding of data science or machine learning concepts.
• Familiarity with time-series data and reporting systems.
• Familiarity with meta ads/Google ads API

Soft Skills

• Strong communication skills.
• Ability to work independently and take ownership.
• Attention to detail and focus on code quality.
• Comfortable working with ambiguous requirements.

Key Responsibilities

• Gather, analyze, and document business and technical requirements.
• Translate business needs into functional and technical specifications.
• Collaborate with developers, architects, QA teams, and stakeholders throughout the SDLC.
• Conduct requirement workshops, stakeholder interviews, and process mapping sessions.
• Create BRDs, FRDs, user stories, workflows, use cases, and process diagrams.
• Analyze existing systems and recommend improvements or automation opportunities.
• Support API integrations, data mapping, and system interoperability initiatives.
• Work with SQL queries and datasets for analysis and reporting.
• Assist QA teams with test scenarios, UAT coordination, and validation.
• Facilitate Agile ceremonies including sprint planning, backlog grooming, and retrospectives.
• Ensure project deliverables align with business goals and compliance requirements.
• Track project progress, risks, dependencies, and change requests

Strong Pharma Analytics Profile

Mandatory (Experience) : Must have 4+ years of experience as an analytics consultant with atleast 2 years in pharma domain

Mandatory (Skill 1) : Must have hands-on experience working with patient-level datasets (claims, EHR, lab, pharmacy data)

Mandatory (Skill 2) : Must have worked on patient journey analysis, treatment patterns, disease progression and advanced analytics

Mandatory (Skill 3) : Must have experience with SQL, Python and Predictive modelling (regression, classification, clustering)

Mandatory (Skill 4) : Must have experience combining multiple healthcare datasets and building longitudinal patient views

Mandatory (Skill 5) : Ability to translate complex analysis into actionable business/clinical insights

Mandatory (Skill 6): Must have experience with time-series analysis and/or survival analysis - specifically to study treatment duration, patient drop-off, or retention trends

Mandatory (Skill 7): Must have experience building risk stratification models using ML techniques to prioritize patients based on clinical or behavioural risk factors

Mandatory (Company) : PharmaTech/life sciences companies

Job Title: Full Stack & Automation Engineer (FinTech Preferred)

Location: On-site | 6 Days/Week

Salary: ₹50,000 – ₹1,50,000/month (Based on experience)

About the Role:

Nova Orbit is looking for a highly capable technical operator who can build scalable systems, automate internal workflows, and strengthen backend infrastructure for a fast-growing finance and investment ecosystem focused on unlisted markets and institutional operations.

Key Responsibilities:

• Build and manage full stack applications for internal tools, dashboards, and business operations
• Design scalable backend architecture with strong system design, APIs, database, and security practices
• Deploy and manage cloud infrastructure across AWS / Azure
• Automate repetitive tasks across departments including operations, CRM, finance, reporting, and customer workflows
• Build workflow automation systems, integrations, bots, and process pipelines
• Improve efficiency by reducing manual processes through technology

Required Skills:

• Strong full stack development (Frontend + Backend)
• Deep backend architecture and system design expertise
• AWS / Azure cloud deployment and infrastructure management
• Proficiency in Python, Node.js, JavaScript/TypeScript, SQL
• API development, microservices, database optimization
• Automation tools like Zapier, n8n, Make, Power Automate, Selenium, or custom scripting
• Workflow design, process mapping, task automation, and RPA concepts
• DevOps, CI/CD pipelines, Docker, Git
• Strong analytical and problem-solving skills

Preferred:

• FinTech / BFSI experience (payments, investment platforms, compliance, CRM automation)
• Experience with internal business process automation across multiple departments

Ideal Candidate:

A systems-driven builder who can combine software engineering, backend scalability, cloud expertise, and workflow automation to optimize company-wide operations.

https://loopx.redstring.co.in/form/6a044e6103b64ed11120a12d

Data Engineer at Amura

Amura’s Vision

We believe that the most under-appreciated route to releasing untapped human potential is to build a healthier body, and through which a better brain. This allows us to do more of everything that is important to each one of us. Billions of healthier brains, sitting in healthier bodies, can take up more complex problems that defy solutions today, including many existential threats, and solve them in just a few decades.

Billions of healthier brains will make the world richer beyond what we can imagine today. The surplus wealth, combined with better human capabilities, will lead us to a new renaissance, giving us a richer and more beautiful culture. These healthier brains will be equipped with deeper intellect, be less acrimonious, more magnanimous, and have a kinder outlook on the world, resulting in a world that is better than any previous time.

We find this vision of the future exhilarating. Our hopes and dreams are to create this future as quickly as possible and ensure that it is widely distributed and optimized to maximize all forms of human excellence.

Role Overview

We are looking for a hands-on Data Engineer to design, build, and maintain scalable data pipelines and data platforms. You will work on ingesting, transforming, and serving data reliably for analytics, reporting, and downstream applications, collaborating closely with backend engineers, analysts, and data scientists. This role is ideal for someone who enjoys building robust data systems, working with large datasets, and writing clean, production-grade code.

Key Responsibilities

Data Pipelines & Development

• Build and maintain reliable ETL/ELT pipelines for batch and near-real-time data processing.
• Ingest data from multiple sources (databases, APIs, event streams, files).
• Transform raw data into clean, analytics-ready datasets.
• Optimize pipelines for performance, scalability, and cost.

Data Storage & Modeling

• Design and manage data models in data warehouses or data lakes.
• Work with SQL and NoSQL databases and modern data warehouses.
• Implement partitioning, indexing, and efficient query patterns.
• Maintain documentation for schemas, pipelines, and transformations.

Cloud & Tooling

• Build data solutions on cloud platforms (AWS preferred).
• Use services such as S3, Redshift, Athena, Glue, EMR, Lambda, Kinesis, or equivalents.
• Work with orchestration tools like Airflow or similar schedulers.
• Use version control, CI/CD, and Infrastructure-as-Code where applicable.

Data Quality & Reliability

• Implement data validation, monitoring, and alerting for pipelines.
• Troubleshoot data issues and ensure pipeline reliability.
• Collaborate with stakeholders to resolve data discrepancies.

Collaboration

• Partner with analytics, product, and engineering teams to understand data needs.
• Support analysts and data scientists with clean, accessible datasets.
• Participate in code reviews and contribute to data engineering best practices.

What We’re Looking For

• Experience: 4-6+ years of experience as a Data Engineer / Data Developer.
• Programming: Strong programming skills in Python.
• Databases: Excellent knowledge of SQL and relational data modeling.
• Pipelines: Experience building ETL/ELT pipelines in production.
• Cloud: Hands-on experience with cloud-based data platforms (AWS preferred).
• Concepts: Understanding of data warehousing concepts and best practices.

Nice to Have:

• Experience with Spark, Kafka, dbt, or Flink.
• Familiarity with orchestration tools like Airflow.
• Experience with streaming or event-driven data pipelines.
• Exposure to data quality or observability tools.
• Experience working with large-scale or high-volume datasets.

Additional Information

• Office Location: Chennai (Velachery).
• Work Model: Work from Office - because great stories are built in person!.
• Online Presence: https://amura.ai (@AmuraHealth on all social media).

Job Title: BI Analyst

Company: VRT Management Group, LLC

Location: Santosh Nagar, Hyderabad (Onsite)

Type: Full-time

About VRT Management Group

VRT Management Group is an entrepreneurial consulting company founded in 2008 in the USA. Our mission is to empower small and medium-scale business leaders across the United States through high-impact programs such as EGA, EGOS, and Entrepreneurial Edge.

With our growing Hyderabad operations, we are building a strong Data & Analytics team to support business intelligence, reporting, and data-driven decision-making across the organization.

Role Overview

As a BI Analyst, you will play a key role in transforming raw data into meaningful insights that support business growth and strategic decision-making. This is a hands-on role focused on data analysis, dashboard development, reporting automation, and KPI tracking using Power BI and SQL.

You will work closely with leadership and cross-functional teams to understand business requirements, build dashboards, and deliver actionable insights that improve operational and business performance.

Key Responsibilities

• Develop and maintain interactive dashboards and reports using Power BI.
• Extract, clean, validate, and analyze data from multiple sources.
• Build and manage SQL queries, datasets, and reporting workflows.
• Track and monitor KPIs and business performance metrics.
• Automate recurring reports and dashboard refresh processes.
• Translate business requirements into clear and actionable dashboards.
• Ensure data accuracy, consistency, and reporting reliability.
• Present insights in a business-friendly and easy-to-understand manner.
• Collaborate with cross-functional teams to support data-driven decision-making.
• Maintain proper documentation for reports, dashboards, and workflows.
• Continuously improve reporting processes and dashboard usability.

Required Skills / What We’re Looking For

• 1+years of experience in Business Intelligence, Data Analytics, or related roles.
• Strong hands-on experience with Power BI and dashboard creation.
• Good knowledge of SQL and relational databases (MySQL/PostgreSQL).
• Understanding data cleaning, transformation, and reporting workflows.
• Ability to understand business requirements and convert them into reports and insights.
• Strong analytical and problem-solving skills.
• Good communication and presentation skills.
• High ownership, attention to detail, and execution mindset.
• Ability to work in a fast-paced and collaborative environment.

Tools Exposure 

• Excel / Google Sheets
• SQL / MySQL / PostgreSQL
•  Power BI
• Python basics for analytics
• Data automation and reporting tools

What You’ll Gain

• Real-world experience in business intelligence and analytics.
• Opportunity to work closely with leadership and business teams.
• Exposure to KPI reporting, dashboarding, and data-driven strategy execution.
• Hands-on experience with business reporting systems and automation.
• Strong learning and growth opportunities within a fast-paced entrepreneurial environment.
• Friendly and positive office work environment.
• Competitive corporate salary package.

Company Description:

NonStop io Technologies, founded in August 2015, is a Bespoke Engineering Studio specializing in Product Development. With over 80 satisfied clients worldwide, we serve startups and enterprises across prominent technology hubs, including San Francisco, New York, Houston, Seattle, London, Pune, and Tokyo. Our experienced team brings over 10 years of expertise in building web and mobile products across multiple industries. Our work is grounded in empathy, creativity, collaboration, and clean code, striving to build products that matter and foster an environment of accountability and collaboration.

Brief Description:

NonStop io is seeking a proficient .NET Developer to join our growing team. You will be responsible for developing, enhancing, and maintaining scalable applications using .NET technologies. This role involves working on a healthcare-focused product and requires strong problem-solving skills, attention to detail, and a passion for software development.

Responsibilities:

• Design, develop, and maintain applications using .NET Core/.NET Framework, C#, and related technologies
• Write clean, scalable, and efficient code while following best practices
• Develop and optimize APIs and microservices
• Work with SQL Server and other databases to ensure high performance and reliability
• Collaborate with cross-functional teams, including UI/UX designers, QA, and DevOps
• Participate in code reviews and provide constructive feedback
• Troubleshoot, debug, and enhance existing applications
• Ensure compliance with security and performance standards, especially for healthcare-related applications

Qualifications & Skills:

• Strong experience in .NET Core/.NET Framework and C#
• Proficiency in building RESTful APIs and microservices architecture
• Experience with Entity Framework, LINQ, and SQL Server
• Familiarity with front-end technologies like React, Angular, or Blazor is a plus
• Knowledge of cloud services (Azure/AWS) is a plus
• Experience with version control (Git) and CI/CD pipelines
• Strong understanding of object-oriented programming (OOP) and design patterns
• Prior experience in healthcare tech or working with HIPAA-compliant systems is a plus

Why Join Us?

• Opportunity to work on a cutting-edge healthcare product
• A collaborative and learning-driven environment
• Exposure to AI and software engineering innovations
• Excellent work ethics and culture

If you're passionate about technology and want to work on impactful projects, we'd love to hear from you!

Looking for a Solution Architect in Automation Anywhere A360 who can design and scale enterprise-grade RPA solutions. The role is a mix of architecture + hands-on + leadership, where you’ll be working on things like AARI (Copilot), Document Automation, and APA capabilities.

You’ll be driving end-to-end solution design, ensuring scalability, governance, and working closely with business stakeholders while mentoring developers.

Requirements:

1. Strong A360 Expertise

• Hands-on experience with Automation Anywhere A360
• Built and deployed bots in enterprise environments (not POCs)

2. Architecture Mindset

• Designed end-to-end RPA solutions
• Understands scalability, security, and governance frameworks

3. New Capabilities Exposure

• Experience (or at least exposure) to:
• AARI (Copilot)
• Document Automation
• APA (Automation Process Automation)

4. Leadership + Stakeholder Handling

• Has led teams / mentored developers
• Comfortable working with business stakeholders

5. Tech Add-ons (Good to have)

• Python / SQL
• Exposure to AI / LLM integrations

Strong hands-on experience in Python development.

Good understanding of SQL and database concepts.

Hands-on working experience in Linux/Unix environment.

Knowledge of scripting, debugging, and application troubleshooting.

Understanding of APIs, data processing, and backend development concepts.

We are looking for an AI & Fullstack Development Intern who is excited about building AI-powered products, automations, and modern web applications.

This is not a traditional frontend-only role — you’ll work across APIs, databases, AI workflows, automation systems, and modern deployment tools while experimenting with how AI can transform software development workflows.

If you’re curious, self-driven, and excited about building fast with AI-assisted tools and modern frameworks, you’ll thrive here.

What You’ll Do:

• Work with AI-first coding tools (GitHub Copilot, Cursor, Codeium, ChatGPT, etc.) to build and ship products faster
• Build and maintain modern fullstack applications using JavaScript/TypeScript and Node.js ecosystems
• Work with APIs, backend services, authentication flows, and database integrations
• Experiment with orchestration frameworks, AI workflows, and automation systems
• Build AI-powered internal tools, automations, and product experiences
• Work with tools and platforms like Railway, Supabase, FastAPI, and cloud deployment environments
• Explore and implement automation workflows using tools like n8n, Make.ai, Scade Pro, and similar systems
• Collaborate with designers and developers to rapidly prototype and iterate on ideas
• Use AI-assisted debugging and development workflows to improve speed and efficiency
• Document experiments, workflows, and learnings for internal knowledge sharing
• Stay curious and continuously explore emerging AI tools, frameworks, and developer workflows

What We Are Looking For:

1. AI Exploration & Experimentation:

• Passionate about AI-assisted development and emerging developer tools
• Comfortable experimenting with AI coding tools and rapidly learning new technologies
• Curious about automations, AI agents, orchestration frameworks, and workflow systems
• Interested in exploring how AI can improve product development workflows

2. Fullstack Development Skills:

• Basic understanding of JavaScript/TypeScript and modern web development concepts
• Familiarity with Node.js and backend/API development
• Understanding of databases, SQL, and database management concepts
• Familiarity with API frameworks like FastAPI or Express is a plus
• Exposure to tools/platforms like Supabase, Railway, Firebase, or similar backend systems is a bonus
• Comfortable working with Git and GitHub

3. Automation & AI Workflows:

• Interest in automation tools like n8n, Make.ai, Zapier, Scade Pro, or similar platforms
• Understanding of integrations, workflows, triggers, and API-based automations is a plus
• Excited about building internal tools and AI-powered workflows

4. Collaboration:

• Able to communicate ideas, experiments, and technical concepts clearly
• Comfortable working in a fast-paced, collaborative, and iterative environment
• Open to feedback and eager to learn through experimentation

Educational Qualifications:

• Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Information Technology, or a related field
• Candidates from other disciplines are also welcome if they have relevant projects, certifications, or hands-on experience
• Demonstrates curiosity, initiative, and strong problem-solving mindset

Why Join Us?

• Gain hands-on experience building real-world AI-first products and workflows
• Work with modern tools, frameworks, and emerging AI technologies
• Opportunity to experiment, prototype, and contribute meaningfully from day one
• Collaborative environment with exposure to design, product, and engineering workflows
• Possibility of a full-time opportunity based on performance

Sr. DE / Data Engineer (Healthcare Data & SQL Expert)

Experience Level: 5–7 Years

Focus: Database Design, Advanced SQL, ETL/ELT Pipelines, and Healthcare Interoperability.

Summary

We are looking for a highly skilled Senior Data Engineer to join our healthcare data team. This role is perfect for a technical powerhouse who excels at building robust data pipelines and deeply understands database internals. You will be responsible for designing schemas, writing complex stored procedures, and optimizing SQL performance to handle clinical and claims data at scale. You will bridge the gap between raw data ingestion and high-performance analytics, ensuring all solutions meet HIPAA and FHIR standards.

What You’ll Do

1. Advanced SQL & Database Development

• Schema Design: Design and implement relational schemas (MSSQL, PostgreSQL, Oracle) ensuring data integrity through constraints, triggers, and normalized structures.
• Programmability: Write and maintain sophisticated Stored Procedures, Functions, and Views to handle complex business logic within the database layer.
• Performance Tuning: Own query optimization. You should be the expert in reading EXPLAIN/ANALYZE plans, implementing advanced indexing strategies (Clustered, Non-Clustered, Columnstore), and managing partitioning.
• Data Modeling: Build and manage dimensional models (Star/Snowflake) and implement Slowly Changing Dimensions (SCD Types 1, 2, and 4).
• 
  
• Getty Images

2. Data Engineering & Ingestion

• Pipeline Development: Build and operate scalable ETL/ELT pipelines using Python and SQL to ingest data from EHRs, REST APIs, and flat files.
• Orchestration: Use Apache Airflow to schedule jobs, manage dependencies, and implement robust retry/alerting logic.
• API Integration: Develop Python-based ingestion frameworks that handle OAuth, pagination, and throttling for third-party healthcare data partners.

3. Healthcare Interoperability & Compliance

• Standards: Map complex clinical data to HL7 FHIR resources and curated analytic layers.
• Security: Implement "Privacy by Design" by enforcing HIPAA safeguards, including encryption at rest, access controls, and PII/PHI de-identification.

4. Operational Excellence

• CI/CD: Use GitHub and automated pipelines to deploy database changes and data code.
• Observability: Implement data quality tests (using tools like dbt or custom Python/SQL checks) to monitor freshness and accuracy.

What You’ll Bring

• Experience: 5–7 years of professional data engineering experience, with a heavy emphasis on backend database development.
• The SQL Expert Toolkit:
• Expert SQL: Window functions, CTEs, recursive queries, and set-based transformations.
• DB Internals: Deep knowledge of MSSQL, PostgreSQL, or Oracle. You should understand how the engine stores and retrieves data.
• Optimization: Proven track record of turning "slow" queries into high-performance assets via indexing and refactoring.
• The Engineering Toolkit:
• Python: Intermediate to advanced (Pandas/Polars, Requests, SQLAlchemy, or PySpark).
• Orchestration: Practical experience with Airflow (or Prefect/Dagster).
• Legacy/Cloud mix: Proficiency in SSIS/SSMA or PowerShell is a plus for migrating legacy workloads to modern platforms.
• The Domain Knowledge: Familiarity with FHIR/HL7 and an understanding of the importance of data governance in a regulated environment.

Technical "Must-Haves" for the Interview

• Ability to whiteboard a complex Database Schema from scratch.
• Ability to debug a long-running SQL query and explain the IO/CPU trade-offs of different index types.
• Experience handling JSON/BSON data types within a relational database context.

Nice to Have

• Experience with NoSQL systems like MongoDB or Elasticsearch.
• Cloud experience (Azure, AWS, or GCP) specifically regarding managed SQL services.
• Knowledge of dbt (data build tool) for managing transformations in the warehouse.

Job Title: Freelance Python Team Lead & Developer (Hyderabad-based)

Project Overview

We are a service-based IT firm seeking a Senior Python Developer (3–5 years experience) for a long-term freelance engagement. This is a unique "Player-Coach" role where you will balance high-level individual coding with the leadership of a junior intern team.

Logistics & Commitment

• Location: In-office (Hyderabad). Candidates must be local.
• Time Commitment: 3–4 hours per day, 5 days a week (approx. 20 hours/week).
• Duration: Ongoing freelance contract.

Core Responsibilities

• Team Leadership: Lead and mentor a team of interns. You will be responsible for task delegation, technical guidance, and conducting rigorous code reviews to ensure production-quality output.
• Individual Contribution: Act as the lead developer for complex backend modules, API architecture, and system integrations using Python (Django/FastAPI).
• Delivery Management: Ensure that the intern team meets project milestones and adheres to clean coding standards (PEP 8).

Requirements

• 3–5 years of professional experience in Python development.
• Proven experience in a service-based company environment.
• Strong proficiency in Django, Flask, or FastAPI and SQL/NoSQL databases.
• Excellent communication skills with a natural ability to mentor and explain technical logic to juniors.
• Availability to work from our Hyderabad office during standard business hours.

Please include your resume and a brief summary of your experience leading teams or mentoring juniors.

Job Description

Job Title: Senior Software Developer

Status: Full Time

Skills: Microsoft .net C#,ReportingServices,Jquery,

JavaScriptWebservices, JavaScript frameworks,CMS

Experience: 5 years

JOB DUTIES & RESPONSIBILITIES:

Working with Project Managers to determine needs and applying / customizing existing

technology to meet those needs

Maintaining and supporting multiple projects and deadlines

Recording work progress on a weekly basis

Documentation

QUALIFICATIONS & RELATED EXPERIENCE:

BTech, MCA, Msc-IT in one of the following subject areas: Information Technology, Computer Science, Business Administration or related field preferred Microsoft dot net certified professionals will be preferred

Proven experience with Microsoft .NET technologies including, ASP.NET, ADO.NET

Languages: C#, VB.Net, SQL/T-SQL, JavaScript/DHTML, VBScript, HTML, XML.*

Experience developing websites using a Content Management System (CMS)

Some experience with f ront end UI design preferred

Experience in backend software design in SQL Server 2008 or 2012, Stored procedures,

ASP.NET, VB.NET, C#

5 years of actual experience in the coding environment with visual studio

Must have the knowledge of FrontEnd frameworks like Jquery,twitterBootstrap,Css

Must have experience of creating Accounts ,Inventory and HR based softwares

Must have experience of working on an ERP

Must have experience of creating and consuming webservices/API

SKILLS:

Ability to complete all phases of software development life cycle including analysis, design,

functionality, testing and support

Ability to develop large scale web/database applications

Ability to work on multiple projects with multiple deadlines

Ability to communicate clearly with business users and project manager

Ability to innovate and provide functional applications with intuitive interfaces

Ability to construct user guides and documentation

Project Management skills

E-commerce integration skills

Excellent knowledge of Transact SQL

Working experience with Content Management Systems

Company Description

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

Role Description

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

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

Key Responsibilities:

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

Required Experience & Skills:

•                Experience building pipelines with Azure Data Factory 

•                Experience connecting to REST API sources using Azure Data Factory 

•                Experience building transformations with Databricks using PySpark 

•                Experience handling complex nested JSON files using PySpark 

•                Experience designing dimensional models/star schema 

•                Experience implementing facts and dimension tables in Databricks Delta Lake 

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

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

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

Company Description

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

Role Description

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

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

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

What You'll Do

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

Qualifications

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

Nice to Have

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

Position: Full-Stack Developer – React / C# / Python / SQL

Location: Mumbai / Pune

Experience: 6–8 Years

Employment Type: Full-time

About the Role

We are looking for a versatile Full-Stack Developer who has working experience in React, C# or Python, and SQL. The candidate doesn’t need to be an expert in all these technologies but should be comfortable taking end-to-end ownership of features with the support of modern AI tools.

Key Responsibilities

• Develop, test, and maintain scalable frontend applications using React.
• Build and integrate backend services using C# (.NET) or Python.
• Write and optimize SQL queries, procedures, and data models.
• Work closely with product and design teams to deliver high-quality features.
• Use AI-assisted development tools (like GitHub Copilot / ChatGPT) to speed up coding, debugging, documentation, and solution design.
• Participate in code reviews, troubleshooting, and performance improvements.
• Ensure best practices in code quality, security, and deployment.

Required Skill Set

• Frontend

React.js (Hooks, components, state management, API integration)

• Backend (any one or both)

C# (.NET Core)

Python (FastAPI / Django / Flask)

• Database

SQL (MySQL / PostgreSQL / MSSQL)

Experience writing queries, joins, stored procedures, and handling schemas

Good to Have

• REST API development
• Basic DevOps understanding (CI/CD, version control – Git)
• Familiarity with cloud platforms (AWS/Azure/GCP)
• Ability to learn quickly with AI tools and follow best practices
• Problem-solving and ownership mindset

What We Are Looking For

• Someone who can handle full-stack tasks with confidence
• Not necessary to be an expert in everything
• Curious, adaptable, and open to using AI tools to deliver faster
• Strong communication skills and team collaboration

Lead / Sr. Data Engineer (Architect & Engineering Owner)

The Role

We are seeking a Lead Data Engineer who operates at the intersection of high-scale engineering and enterprise architecture. In this role, you will "own" our healthcare data platform end-to-end. You aren't just building pipelines; you are designing the blueprint for how clinical, claims, and sales data flow through our ecosystem. You will bridge the gap between legacy systems (MSSQL/Oracle) and modern cloud warehouses (Snowflake/Redshift/Databricks), ensuring our data is governed, HIPAA-compliant, and optimized for advanced analytics.

What You’ll Do

1. Architecture & Strategic Leadership

• Design the Blueprint: Own the enterprise data architecture (Staging, Integration, Warehouse, and Semantic layers). Define the evolution from monolithic databases to scalable cloud-hosted analytics.
• Modeling Mastery: Lead the design of complex Dimensional Models (Star/Snowflake) and implement advanced Slowly Changing Dimension (SCD) strategies to track historical clinical events.
• Set the Standard: Establish coding, version control (GitHub), and CI/CD standards. Conduct design reviews and mentor a team of engineers to move from "task-takers" to "system-builders."

2. Advanced Data Engineering (Hands-on)

• Modern ELT/ETL: Build and orchestrate production-grade pipelines using Python, Airflow, and dbt. Manage automated ingestion via Fivetran or custom-built frameworks for APIs and EHRs.
• Multi-Engine Expertise: Operate seamlessly across PostgreSQL, MSSQL, and Oracle, while optimizing petabyte-scale cloud warehouses like Snowflake or Redshift.
• Performance Tuning: Own query optimization. You should be the expert at using EXPLAIN/ANALYZE, partitioning, and indexing to reduce compute costs and latency.
• Quality & Reconciliation: Design robust validation frameworks to ensure data integrity—essential for healthcare compliance and clinical trust.

3. Healthcare Interoperability & Governance

• Data Standards: Map diverse datasets (EHR, API, Flat Files) to HL7 FHIR resources and curated analytic layers.
• Privacy by Design: Embed HIPAA Security Rule safeguards (encryption, audit trails, and access controls) directly into the code and infrastructure.
• Interoperability: Handle complex semi-structured data (JSON/XML) from third-party partners and EMR systems.

What You’ll Bring

• Experience: 8–12+ years in Data Engineering/Architecture. You should have a track record of leading technical projects or mentoring teams.
• The "Hybrid" Stack: * Expert SQL/PL-SQL: Deep experience with performance tuning in relational environments (Oracle/MSSQL).
• Modern Tools: Practical experience with Snowflake/Redshift, dbt, and Airflow.
• Programming: High proficiency in Python (Pandas, PySpark) or Java/Scala for custom ETL routines.
• Architectural Depth: Clear understanding of SDLC, Agile (Scrum), and Data Modeling frameworks.
• Healthcare Domain: Exposure to pharmaceutical or clinical data (Life Sciences, EMR, or Claims) is highly preferred.
• Soft Skills: The ability to translate "clinical business needs" into "technical runbooks" and communicate effectively with stakeholders.

Nice to Have

• AI/ML Integration: Experience supporting Data Science teams with feature extraction and model deployment (SageMaker/Azure ML).
• Advanced Tooling: Familiarity with NoSQL (MongoDB), search engines (Elasticsearch), or niche ETL tools (Talend/Informatica) for migration purposes.
• Cloud Infrastructure: Hands-on experience with AWS Glue, Lambda, or Azure Data Factory.

Role Objective

Develop business-relevant, high-quality, scalable Power BI Dashboards keeping customer requirements at the core.

Roles and Responsibilities

• Technical Expertise: Very clear understanding of core concepts like Data Modelling, DAX, Power Query, and Visualization principles.
• Programming Languages: Expertise in Python and SQL for data manipulation, analysis, and automation. Additionally, leverage DAX and M Query for complex data transformations within Power BI.
• Dashboard Development & Quality Measures: Design, develop, and maintain Power BI dashboards ensuring high quality, data accuracy, user-friendly visualization, and adherence to timelines. Define and meet dashboard quality standards such as data accuracy, visualization clarity, and performance benchmarks.

• Translate Business Problems: Collaborate with stakeholders to translate complex business problems into data-centric solutions that address functional, non-functional, and commercial concerns, such as reliability, scalability, and maintainability
• Hypothesis Development: Decompose business problems into a series of testable hypotheses, identifying relevant data assets required for evaluation
• Quality Measures: Define and meet the dashboard quality measures like data accuracy, data visualization, timelines, support, etc.
• Solution Design: Based on the business requirements design wireframes, POC, and final product.
• Performance Optimization: Improve user experience by continuously enhancing performance, maintainability and scalability.
• Troubleshooting: Quick issue resolution as defined by SLA. Resolve issues about access, latency, data accuracy, security, etc.

Job Requirements

1. Education- MBA, B. Tech (Comp. Sc), BBA, BCA, MCA or equivalent

2. Experience- 4+ years of experience in developing Power BI Dashboards.

3. Behavioral Skills-

• Clear and Assertive communication
• Ability to comprehend the business requirement
• Teamwork and collaboration
• Analytics thinking
• Time Management

4. Technical Skills-

• Understand various datasets as play and create a high-quality, robust, and scalable data model in Power BI.
• Should be able to write data transformation steps using M-Language and not just UI.
• Demonstrated ability to write and comprehend complex DAX.
• Understanding of visualization best practices. We encourage insightful dashboards NOT colorful.
• Conceptual clarity and Hands-on experience with SQL and Python.
• Analytical skills to create powerful data stories
• Experience with using DAX Studio and Tabular Editor is a plus
• Expertise in High Volume Data Processing Production environment is a plus

Note: Candidates based in Pune or those willing to relocate will be preferred.

Why Ven Analytics?

At Ven, we are a fast-paced, innovative startup committed to delivering cutting-edge solutions. Our dynamic work environment fosters creativity, collaboration, and professional growth.

We offer a range of employee benefits, including:

• Competitive Compensation: Attractive salary packages and performance-based incentives.
• Career Development: Opportunities for growth, learning, and advancement in a rapidly expanding company.
• Health Benefits: Wellness programs and resources to support your physical and mental well-being.

Join us at Ven Analytics, where you'll have the chance to make an impact, grow professionally, and be part of an exciting journey!

Role Objective

Develop business relevant, high quality, scalable web applications. You will be part of a dynamic AdTech team solving big problems in the Media and Entertainment Sector.

Roles & Responsibilities

* Application Design: Understand requirements from the user, create stories and be a part of the design team. Check designs, give regular feedback and ensure that the designs are as per user expectations.  

* Architecture: Create scalable and robust system architecture. The design should be in line with the client infra. This could be on-prem or cloud (Azure, AWS or GCP). 

* Development: You will be responsible for the development of the front-end and back-end. The application stack will comprise of (depending on the project) SQL, Django, Angular/React, HTML, CSS. Knowledge of GoLang and Big Data is a plus point.  

* Deployment: Suggest and implement a deployment strategy that is scalable and cost-effective. Create a detailed resource architecture and get it approved. CI/CD deployment on IIS or Linux. Knowledge of dockers is a plus point.  

* Maintenance: Maintaining development and production environments will be a key part of your job profile. This will also include trouble shooting, fixing bugs and suggesting ways for improving the application. 

* Data Migration: In the case of database migration, you will be expected to suggest appropriate strategies and implementation plans. 

* Documentation: Create a detailed document covering important aspects like HLD, Technical Diagram, Script Design, SOP etc. 

* Client Interaction: You will be interacting with the client on a day-to-day basis and hence having good communication skills is a must. 

**Requirements**

Education-B. Tech (Comp. Sc, IT) or equivalent 

Experience- 3+ years of experience developing applications on Django, Angular/React, HTML and CSS 

Behavioural Skills-

  1. Clear and Assertive communication 

  2. Ability to comprehend the business requirement  

  3. Teamwork and collaboration 

  4. Analytics thinking 

  5. Time Management 

  6. Strong Trouble shooting and problem-solving skills 

Technical Skills-

  1. Back-end and Front-end Technologies: Django, Angular/React, HTML and CSS. 

  2. Cloud Technologies: AWS, GCP and Azure 

  3. Big Data Technologies: Hadoop and Spark 

  4. Containerized Deployment: Dockers and Kubernetes is a plus.

  5. Other: Understanding of Golang is a plus.

AI / LLM Engineering — Good to Have

• Candidates with exposure to AI/LLM engineering will have a strong advantage as we build intelligent, AI-augmented AdTech solutions. None of the below is mandatory.
• LLMs: OpenAI (GPT-4/4o), Anthropic (Claude), Meta (Llama)
• Orchestration & Agents: LangChain, LangGraph, LlamaIndex
• Tool Calling / MCP: Function Calling (OpenAI / Anthropic), FastMCP or Custom MCP Servers
• RAG (Retrieval-Augmented Generation): RAG pipeline design, LlamaIndex, LangChain retrievers and chains
• Vector Databases: Pinecone, Weaviate, FAISS
• Embeddings: OpenAI Embeddings, Hugging Face Sentence Transformers
• Observability: LangSmith, Sentry
• Backend / Infra for AI: Django REST Framework, FastAPI.

Role Objective

Develop business relevant, high quality, scalable web applications. You will be part of a dynamic AdTech team solving big problems in the Media and Entertainment Sector.

Roles & Responsibilities

* Application Design: Understand requirements from the user, create stories and be a part of the design team. Check designs, give regular feedback and ensure that the designs are as per user expectations.  

* Architecture: Create scalable and robust system architecture. The design should be in line with the client infra. This could be on-prem or cloud (Azure, AWS or GCP). 

* Development: You will be responsible for the development of the front-end and back-end. The application stack will comprise of (depending on the project) SQL, Django, Angular/React, HTML, CSS. Knowledge of GoLang and Big Data is a plus point.  

* Deployment: Suggest and implement a deployment strategy that is scalable and cost-effective. Create a detailed resource architecture and get it approved. CI/CD deployment on IIS or Linux. Knowledge of dockers is a plus point.  

* Maintenance: Maintaining development and production environments will be a key part of your job profile. This will also include trouble shooting, fixing bugs and suggesting ways for improving the application. 

* Data Migration: In the case of database migration, you will be expected to suggest appropriate strategies and implementation plans. 

* Documentation: Create a detailed document covering important aspects like HLD, Technical Diagram, Script Design, SOP etc. 

* Client Interaction: You will be interacting with the client on a day-to-day basis and hence having good communication skills is a must. 

**Requirements**

Education-B. Tech (Comp. Sc, IT) or equivalent 

Experience- 3+ years of experience developing applications on Django, Angular/React, HTML and CSS 

Behavioural Skills-

  1. Clear and Assertive communication 

  2. Ability to comprehend the business requirement  

  3. Teamwork and collaboration 

  4. Analytics thinking 

  5. Time Management 

  6. Strong Trouble shooting and problem-solving skills 

Technical Skills-

  1. Back-end and Front-end Technologies: Django, Angular/React, HTML and CSS. 

  2. Cloud Technologies: AWS, GCP and Azure 

  3. Big Data Technologies: Hadoop and Spark 

  4. Containerized Deployment: Dockers and Kubernetes is a plus.

  5. Other: Understanding of Golang is a plus.

AI / LLM Engineering — Good to Have

• Candidates with exposure to AI/LLM engineering will have a strong advantage as we build intelligent, AI-augmented AdTech solutions. None of the below is mandatory.
• LLMs: OpenAI (GPT-4/4o), Anthropic (Claude), Meta (Llama)
• Orchestration & Agents: LangChain, LangGraph, LlamaIndex
• Tool Calling / MCP: Function Calling (OpenAI / Anthropic), FastMCP or Custom MCP Servers
• RAG (Retrieval-Augmented Generation): RAG pipeline design, LlamaIndex, LangChain retrievers and chains
• Vector Databases: Pinecone, Weaviate, FAISS
• Embeddings: OpenAI Embeddings, Hugging Face Sentence Transformers
• Observability: LangSmith, Sentry
• Backend / Infra for AI: Django REST Framework, FastAPI.

Employment Type

Fulltime

Experience Level

Associate

Work Experience (years)

1.5- 4 Years

Annual Compensation 

INR 700,000 - 1,000,000

Skills

No of Openings

2

Role Objective

As a Fullstack Intern, you will gain hands-on experience in developing business-relevant, high-quality, and scalable web applications. You will work closely with our dynamic AdTech team to solve real-world challenges in the Media and Entertainment sector.

Roles & Responsibilities

• Application Design: Work with the team to understand requirements, contribute to user stories, and support the design process. Assist in reviewing designs, giving feedback, and ensuring alignment with user expectations.
• Architecture: Learn and contribute to designing scalable and robust system architectures (on-prem or cloud – Azure, AWS, or GCP).
• Development: Assist in front-end and back-end development using technologies such as SQL, Django, Angular/React, HTML, and CSS. Exposure to GoLang and Big Data will be a plus.
• Deployment: Support the implementation of scalable and cost-effective deployment strategies. Contribute to CI/CD processes on IIS or Linux. Familiarity with Dockers is a plus.
• Maintenance: Help in maintaining development and production environments, troubleshooting issues, fixing bugs, and suggesting improvements.
• Data Migration: Learn and assist in planning and implementing database migration strategies.
• Documentation: Contribute to technical documentation, including HLD, technical diagrams, script design, and SOPs.
• Client Interaction: Gain exposure to client communication and understand how to translate business requirements into technical solutions.

Requirements

Education – B.Tech (Computer Science, IT) or equivalent, currently pursuing or recently completed.

Experience – Previous internship experience is a plus.

Behavioural Skills

• Clear and assertive communication
• Ability to comprehend business requirements
• Teamwork and collaboration
• Analytical thinking
• Time management
• Problem-solving and troubleshooting skills.

Technical Skills

• Back-end & Front-end: Django, Angular/React, HTML, CSS
• Cloud Technologies: AWS, GCP, Azure
• Big Data: Hadoop, Spark (knowledge is a plus)
• Containerized Deployment: Dockers/Kubernetes (a plus)
• Other: Understanding of GoLang is a plus

Key Skills:

Technical Skills

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)

Additional Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
• Strong analytical and problem-solving abilities
• Excellent communication skills to work with both technical and non-technical stakeholders
• Ability to manage multiple projects and prioritize tasks effectively
• Detail-oriented with commitment to delivering high-quality work
• Client-facing experience with ability to gather requirements and present solutions

Preferred Qualifications

• Microsoft Power BI certification (PL-300 or equivalent)
• Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
• Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
• Familiarity with Python or R for advanced analytics integration
• Experience with Dataflows and incremental refresh strategies
• Understanding of API development for custom visuals or Power BI embedded solutions
• Experience working in Agile/Scrum development environments

About Us

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

Our Values

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

About the Role

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

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

What You’ll Do

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

What We’re Looking For

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

Our Commitment to an Inclusive Workplace

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

AI Disclosure & Informed Consent

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

About FloBiz

Website : https : //flobiz.in/

FloBiz is India's first neobusiness platform, revolutionizing the way Small and

Medium-sized Enterprises (SMEs) operate in India. Our mission is to digitize 65 million

MSMEs in the country, and we are well on our way to achieving this goal. Our flagship

product, myBillBook, has already empowered over 10 million businesses across 2000+

towns with its billing, accounting, inventory management, and payment collection

solutions. With over $25 billion in annual transactions, we are proud to be a rapidly

growing tech startup serving the needs of SMBs in India.

Our Flagship product : MyBillBook

myBillBook is India's leading GST billing & accounting software with mobile, web app & native desktop offerings and runs on Android as well as iOS. myBillBook has been designed to aid SMB owners to conduct their operations from anywhere and anytime and provides a secure platform for business owners to record transactions & track business performance on the go. It is an ideal software for GST registered businesses where invoicing is one of the core business activities. Also, businesses looking to digitise their operations to understand their financial position better can use this software. It helps them create bills (GST & non-GST), record purchases & expenses, manage inventory and track payables/receivables directly from their mobile phones or computers. Also, the app generates 25 critical business reports that help business owners make effective business decisions. myBillBook is currently available in English, Hindi, Gujarati & Tamil.

Currently, the app has been downloaded by over 6.5M SMBs across the country with over 10x growth in user base in the last 12 months alone. Even with such pace of adoption of the product, myBillBook continues to be the highest rated application in its category on Google Play Store.

Key Responsibilities :

• Design, develop, maintain and optimise complex, scalable and distributed systems capable of handling large-scale datasets and high-throughput workloads.

• Optimise performance, reliability and availability across the whole system.

• Write clean, efficient, and maintainable code in multiple programming languages as needed.

• Contribute to architectural decisions and help improve engineering best practices.

• Work with a builder mindset, contribute and collaborate across cross-functional teams, to unblock and accelerate delivery. No role silos.

• Actively mentor juniors through code reviews, design discussions and pairing.

• Leverage LLM-assisted tools (Claude, Cursor, LLM-powered code review and testing) to accelerate development velocity and improve code quality.

• Build and evolve the platform to be LLM-ready - design APIs, data pipelines and system interfaces that enable seamless LLM integration and automation.

Required Qualifications :

• 3-5 years of experience in back-end software development focusing on large-scale distributed systems.

• BE/B.Tech in Computer Science or a related technical field (or equivalent practical experience).

• Strong software development skills in one or more languages such as Java / Ruby on Rails / Python.

• Working experience with SQL and NoSQL databases (e.g. PostgreSQL, MongoDB) with ability to design effective schema and perform various optimisations for large-scale data.

• Deep understanding of system design principles and best practices for building scalable and resilient systems with microservices.

• Excellent problem-solving with experience in incident management, monitoring, alerting, and root cause analysis.

• Experience with event-driven architectures (Kafka, SQS, RabbitMQ, or similar).

• Experience in building intelligent AI agents and systems powered by Large Language Models.

• Hands-on experience with cloud platforms like AWS or Google Cloud Platform.

• Deep understanding of software development best practices, patterns and code reviews.

• Effective communication skills to coordinate with cross-functional teams during large-scale projects.

Perks @ Benefits :

• Competitive salary with performance-linked rewards and recognitions.

• An extensive medical insurance that looks out for our employees & their dependants. Well love you and take care of you, our promise

• Flobiz Academy : Helps you in terms of Learning and enhancing your skills

• A reward system that celebrates hard work and milestones and Performances throughout the year.

• A cool work-from-home setup that makes you feel right at home. An environment so comfortable that you won't miss your home.

Location : Remote (WFH) 5 days working

As an Analyst at Tap Invest, you’ll turn data into decisions. You’ll work with teams across

Product, Ops, Marketing, and Sales to uncover insights, solve real business problems, and

drive strategy.

This role is for someone who is comfortable working with data independently and can

support business teams with reliable analysis and reporting.

Key Responsibilities

● Gather, organize, and clean data from various sources including databases,

spreadsheets, and external sources to ensure accuracy and completeness.

● Write SQL queries to pull, validate, and clean data from production databases.

● Build and maintain dashboards, and generate KPI reports. Track performance

against targets and identify areas for optimization.

● Analyze user funnels and investment patterns to surface actionable insights.

● Prepare and present clear, concise reports and visualizations to communicate

findings and recommendations to stakeholders across teams.

● Document data definitions, metrics, and assumptions clearly for consistency and

reuse.

What We’re Looking For

● 1 to 2 years of experience in Data Analytics, Business Analytics, or a similar role.

● Comfortable writing in SQL and validating queries.

● Solid with Excel / Google Sheets (pivot tables, lookups, charts).

● Genuine curiosity about how businesses use data to make decisions.

● Experience with scripts for data automations.

● Prior projects involving production datasets.

Nice to Have

● Familiarity with pandas or any data manipulation library for advanced automations.

● Interest in capital markets, bonds, fixed income or FinTech.

● Exposure to AI tools

🚨 We’re Hiring | Support Engineer – Trading & Capital Markets 🚨

📍 Location: Bangalore

🕘 Shift: Night Shift

🎯 Domain Priority: Trading / Capital Markets ONLY

We are looking for a Support Engineer with hands-on experience in trading systems and capital markets, who thrives in fast-paced, high-availability environments and is passionate about client-facing technical support.

✅ Must-Have Qualifications

• Bachelor’s degree in Computer Science, IT, or a related field
• 2+ years of experience in Application / Technical Support, preferably in the broking or trading domain
• Strong understanding of Capital Markets – Equity, F&O, Currency, Commodities
• Solid technical troubleshooting skills:
• Linux/Unix
• SQL
• Log analysis
• Familiarity with Trading Systems, RMS, OMS, APIs (REST/FIX), and order lifecycle
• Excellent communication and interpersonal skills for effective client interaction
• Ability to work under pressure during live trading hours and manage multiple priorities
• Customer-centric mindset with strong problem-solving and relationship-building abilities

🔍 Key Responsibilities

• Act as the primary point of contact for clients reporting issues related to trading applications and platforms
• Log, track, and monitor incidents using internal tools and ensure resolution within defined TATs
• Coordinate with Development, QA, Infrastructure, and other internal teams to drive timely resolution
• Provide clear, proactive, and regular updates to clients and internal stakeholders
• Maintain detailed logs of incidents, escalations, resolutions, and fixes for audits and future reference
• Support clients with queries related to system functionality, performance, and usage
• Communicate proactively with clients regarding product enhancements, features, and updates

⚠️ Note: Candidates with experience in the Trading / Capital Markets domain will be given first priority.

📩 Interested candidates can comment “Interested” or share their resume via DM.

Let’s connect and build reliable trading support systems together!