Top Data Engineer Jobs in Pune

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.

Support enterprise big data infrastructure deployments, provide customer site support, manage installations and upgrades, develop automation scripts, and enhance monitoring tools.

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 develop data solutions, build data pipelines, analyze processes for improvements, and mentor junior engineers.

Lead the design and development of scalable data platforms, modern data pipelines, and lakehouse solutions, while managing a Scrum team of data engineers.

Seeking a Senior Data Engineer to design and implement high-performance data solutions and pipelines, ensuring scalability and reliability in cloud environments.

The Senior Data Engineer will build and optimize ETL/ELT data pipelines using Azure Databricks and Apache Spark, ensure data governance, and collaborate with stakeholders to translate business needs into data engineering solutions.

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.

The Senior Data Engineer will build and maintain systems for data collection, storage, and analysis. This includes designing data architectures and collaborating with data scientists on machine learning models.

The Senior Data Engineer leads multiple teams, designing scalable ELT pipelines, ensuring data governance, and optimizing data solutions in cloud-based environments, especially using Snowflake.

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.

Lead design and optimization of data pipelines and architectures, mentor engineers, collaborate with teams, and drive technical strategies in data engineering.

As a Staff Data Engineer, lead the design and scaling of data models, optimize ETL/ELT pipelines, and mentor engineers while ensuring data quality and governance.

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.

Design and develop software solutions, ensuring code quality, collaboration with teams, and adherence to secure coding practices.

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

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

The Senior Data Engineer will design and build scalable data systems and analytics infrastructure, ensure data quality, and lead technical direction. Responsibilities include developing AI capabilities for the analytics platform and collaborating with teams to translate complex data into actionable insights.