Top Data Engineer Jobs in Bangalore

The Semantic Data Engineer will develop operational data schemas, manage data integration, and optimize queries while ensuring quality and trust in metrics across the organization.

Design and implement data solutions by translating business problems into technical designs; lead modules, mentor junior team members, validate architectures, develop ETL/warehouse/reporting solutions, and support project delivery including planning, testing, deployment and client collaboration.

The Principal Data Engineer will lead the data engineering team, architecting solutions and driving complex data projects to enhance operational data quality and support business decisions.

Design and build scalable data pipelines and ETL processes from internal and external sources. Improve data architecture performance, security, and maintainability (dbt, singer-taps, reverse ETL). Collaborate with analysts and product teams to build AI agents and self-serve analytics platform; participate in code reviews and design discussions.

The Data Engineer will optimize the elluminate® platform for clinical data through coding, ETL processes, and deliver client-focused solutions while ensuring compliance with industry standards.

This role involves collecting, analyzing datasets, creating reports and dashboards, conducting statistical analysis, and ensuring data accuracy in a collaborative environment.

The Senior Data Engineer will design and build data pipelines, implement testing practices, and collaborate with stakeholders to enhance player experiences through data insights.

Design, build, and maintain scalable ETL/ELT data pipelines and data products on Databricks/AWS. Implement data quality, lineage, observability, CI/CD, and API integrations while collaborating with business stakeholders.

Lead design, build, and delivery of large-scale batch and streaming data pipelines and lakehouse systems. Optimize Spark workloads, implement data quality, observability and governance, develop APIs and CI/CD automation, and mentor engineers while collaborating with cross-functional teams and ensuring compliance for financial data workflows.

The Data Engineer will design, develop, and maintain ETL/ELT data pipelines, leveraging PySpark and Databricks to process large datasets, ensuring data quality, reliability, and performance optimization.

The Sr Data Engineer I will provide consulting services for clinical systems, manage projects, and design SQL code for data reporting and analytics while ensuring compliance with industry standards.

Design, build and maintain scalable data pipelines, data lake ingestion, and data products. Collaborate with GTM and platform teams to enable self-serve analytics, implement microservices, and process high-volume streaming data using Spark, Airflow and AWS. Drive data modeling, warehousing best practices, and production reliability.

The role involves designing data architecture, mentoring engineers, collaborating on data requirements, and developing scalable data solutions and pipelines.

The Senior Data Engineer will design data architecture, collaborate with stakeholders, mentor junior engineers, and develop scalable ELT/ETL pipelines while ensuring data quality and system efficiency.

As a Senior Data Engineer, you will design and implement data architectures, mentor junior engineers, and develop scalable ETL/ELT pipelines, ensuring data quality and operational efficiency.

Design, develop, and maintain data solutions and ETL pipelines; ensure data quality; monitor and troubleshoot pipelines; document processes; collaborate with cross-functional teams and mentor junior staff.

Design, develop, and maintain data solutions and scalable ETL pipelines. Ensure data quality and integrity, support data migration across systems, optimize workflows, and collaborate with stakeholders while mentoring junior team members.

Design, develop, and maintain data solutions and ETL pipelines. Ensure data quality, migration, and integrity across systems. Monitor and optimize workflows, document processes, collaborate with stakeholders, and mentor junior team members.

Design, develop, and maintain data solutions and ETL pipelines using Databricks. Ensure data quality, optimize workflows, support cross-functional teams, document processes, and mentor junior members while working on-site in Mumbai with rotational shift coverage.

Design, build, and maintain scalable Apache Kafka-based data pipelines and real-time streaming applications. Implement producers/consumers, Kafka Streams/KSQL, Connectors, schema management (Avro/Protobuf), security, monitoring, and troubleshooting. Collaborate with application and DevOps teams, ensure high availability, and provide production support, RCA, and documentation.

Design, develop, and maintain data solutions and scalable ETL pipelines using Databricks. Ensure data quality, monitor and troubleshoot pipelines, document workflows, collaborate cross-functionally, and mentor junior team members while serving as an SME.

The Senior Software Developer will develop and support Qlik Sense applications, ensure best practices, and improve analytics processes while collaborating with clients and teams.

Seeking a Senior Data Engineer to advance a modern data lakehouse. Responsibilities include modeling, data management, ETL processes, and mentoring.

Design, build, and operate scalable, reliable data pipelines and services (Go/Scala) to power internal data products. Partner with engineers, analysts, and product stakeholders to model datasets, improve data platform architecture, ensure data quality and observability, and support AI/LLM-enabled features. Lead design reviews, mentor teammates, and collaborate globally on ingestion, governance, and production operations.

Design, develop, and maintain data solutions and ETL pipelines on AWS BigData. Ensure data quality, monitor and troubleshoot pipelines, document workflows, collaborate with cross-functional teams, and mentor junior engineers to deliver scalable data processing and migration solutions.