Job Description We're Hiring | Databricks Data Engineer | Pan India | TCS
NWe are looking for experienced Databricks Data Engineers to join our growing team. The ideal candidate should have solid 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
nPan India
N Experience
n5–10 Years (role-dependent), including 3+ years hands-on Databricks
N Employment Type
NFull-time
n KeyResponsibilities
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- Strong experienceand 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
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- 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
- Medal

📌 Hiring: Databricks Data Engineer (Karnataka)
🏢 Berribot
📍 Karnataka