We're Hiring | Databricks Data Engineer | Pan India | TCS /n We are looking for experienced Databricks Data Engineers to join our growing team. The ideal candidate should have strong hands-on experience in PySpark/Spark SQL engineering, Delta Lake, and Unity Catalog governance to build reliable, high-performance, production-grade data products for BFSI modernisation, migration, and AI-ready data platform programs. /n Location /n Pan India /n Experience /n 5–10 Years (role-dependent), including 3+ years hands-on Databricks /n Employment Type /n Full-time /n Key Responsibilities /n /n

- Strong experience and understanding of Data Warehouse and Data Lake platform architecture and design.

/n

- Design and develop scalable end-to-end ETL/ELT pipelines on Azure/AWS Databricks using PySpark, Spark SQL, and Delta Lake.

/n

- Implement medallion (Bronze–Silver–Gold) Lakehouse architectures with automated ingestion, schema evolution, and performance optimisation.

/n

- Build streaming and batch ingestion using Auto Loader, Lakeflow/Structured Streaming, Delta Live Tables (DLT), and Azure Data Factory.

/n

- Enforce data governance, lineage, access control, and cataloguing through Unity Catalog, RBAC, and Delta Sharing.

/n

- Optimise Spark workloads for cost and performance (partitioning, caching, cluster sizing,



query tuning) across large datasets.

/n

- Support legacy-to-Lakehouse migrations (Hadoop/DataStage/RDBMS) leveraging accelerators such as Lakebridge and reusable frameworks.

/n

- Establish CI/CD for Databricks assets using Azure DevOps/Git, and build automated data validation and testing utilities.

/n

- Collaborate with architects, AI/ML specialists, and client teams on solutioning, demos, PoCs, and production rollouts.

/n /n Mandatory Skills /n /n

- Azure/AWS Databricks (Notebooks, Workflows, Jobs)

/n

- PySpark, Spark SQL, Python, SQL

/n

- Delta Lake, Delta Live Tables (DLT), Auto Loader

/n

- Unity Catalog, RBAC, data governance & lineage

/n

- Medallion/Lakehouse architecture design

/n

- ETL/ELT pipeline engineering & performance tuning

/n /n Good to Have /n /n

- Azure Data Factory (ADF), ADLS Gen2, AWS Glue

/n

- Apache Airflow orchestration, DBT, streaming

/n

- CI/CD — Azure DevOps, Git; DataOps practices

/n

- Data migration & modernisation (Hadoop/RDBMS)

/n

- Power BI/analytics enablement, Lakebase

/n

- Exposure to GenAI/Agentic AI on Databricks

/n /n Your Next Career Prospect Awaits! /n Apply now and get a faster recruitment process. /n Click here to apply

📌 Databricks Data Engineer (Belagavi)
🏢 Berribot
📍 Belagavi