Top Data Engineer Jobs in Bangalore

Design, develop, and maintain integration solutions ensuring data accuracy and security, while leading junior engineers and optimizing processes.

Design, build, and scale end-to-end data products on a cloud lakehouse (Databricks/Snowflake) using Python, Spark, dbt and SQL. Implement medallion architecture, data models, governance (Unity Catalog), observability, and CI/CD. Lead technical design, mentoring, monitoring, and stakeholder collaboration across Supply Chain, Manufacturing, and Quality domains.

As a Senior Data Engineer, you will design and manage real-time and batch data pipelines, collaborating with various teams to enhance data analytics capabilities.

Build and maintain end-to-end data pipelines using PySpark and SQL on Databricks/Delta. Establish data modeling and pipeline best practices, create AI-ready analytical datasets, troubleshoot pipeline issues, and collaborate with stakeholders to embed business logic and optimize reliability, efficiency, and performance.

Design, build, and optimize high-volume data pipelines using Python, Databricks and Spark on Azure. Create and maintain automation test suites (Azure DevOps), perform manual/load/exploratory testing, collaborate with BAs and developers to meet sprint goals, and assist with sprint estimation and delivery.

Design, build, and operate scalable data engineering services and ingestion pipelines (CDC/streaming). Develop and optimize a centralized analytics warehouse, data models, and aggregation strategies. Build APIs, enforce multi-tenant security and data governance, monitor pipeline health, improve automation and observability, and ensure production reliability through strong engineering practices.