Top Data Engineer Jobs in Mumbai

Build, operate, and scale ingestion pipelines for marketing data (ad platforms, ecommerce, analytics). Normalize and transform data into shared schemas, ensure multi-tenant reliability, observability, and security, and partner with AI/data-science teams to expose clean data for agents.

Lead QA strategy and execute test automation for APIs, Kafka event pipelines, ETL/data validation, databases, and data warehouses. Build and maintain automated test suites, validate AVRO schemas and contracts, perform integration and system testing for microservices, support CI/CD quality gates, and collaborate with engineering and product teams to ensure platform reliability and production readiness.

The Senior Data Engineer will design and build data infrastructure and pipelines, enhance AI capabilities, and collaborate with teams on data solutions while mentoring junior engineers.

The Principal Developer will lead the design, development, and maintenance of application and data integrations using various tools, ensuring high-quality solutions and collaboration across teams.

This role involves preparing proposals, understanding client requirements, assisting in technical solution design, and supporting sales teams in AI/Data projects.

The Data Platform Engineer will design and maintain data platforms, ensuring reliability and efficiency while collaborating with cross-functional teams to fulfill product and analytics needs.

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

The Backend Engineer II will build scalable backend services with Java, optimize database queries, and architect data pipelines, collaborating with teams to enhance product operations through data analysis and insights.

As a Senior Data Platform Engineer, you'll build and scale OpenGov's data infrastructure, lead ELT/ETL implementation, and ensure data governance, security, and observability while collaborating across teams.

As a Senior Engineer for Strategic Data Solutions, you will manage data warehousing, reporting, and analytics for internal operations and external partners. Responsibilities include collaborating with business units, providing insights, and ensuring high-quality data reporting.

The Senior Data Engineer will build and optimize data pipelines in Azure Databricks, migrate existing pipelines from Azure Synapse, and design scalable data models to support a financial services client's data platform modernization.

Responsible for guiding teams in utilizing technology effectively, mentoring colleagues and devising advanced solutions to meet client challenges.

As a Senior Engineer in Data Analytics, you'll work on challenging problems using cutting-edge technology alongside talented colleagues to drive innovative solutions.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.

As a Lead Data Engineer, you will design and manage data pipelines, develop ETL processes, and ensure data quality. Mentorship of junior engineers is also part of the role.

As a Principal Engineer for Data Infrastructure, you'll oversee our databases and data warehousing, optimize performance, and lead technology integrations to enhance data processing capabilities.