Role
Senior Databricks Engineer
Role Summary
Senior Databricks Engineer with strong expertise in developing, optimizing, and maintaining data engineering solutions on the Databricks platform. The candidate should have deep experience with Apache Spark (PySpark), Databricks notebooks, Delta Lake, and Spark performance optimization. This role is focused on Spark-native data engineering rather than ETL tool development.
Must Have Skills
Strong hands-on experience with Databricks notebooks, Jobs, Workflows, Repos, and Unity Catalog
Solid expertise in PySpark and Spark SQL
Experience building scalable Spark-based data pipelines
Robust understanding of Spark DataFrames, joins, aggregations, window functions, and distributed processing
Experience with Delta Lake (MERGE, OPTIMIZE, ZORDER, VACUUM, Change Data Feed)
Hands-on experience in Spark job performance tuning
Experience optimizing partitions, shuffles, caching,



memory usage, and cluster utilization
Experience developing batch and incremental data processing pipelines
Strong programming skills in Python, PySpark, and SQL
Experience working on Azure Databricks, AWS Databricks, or GCP Databricks
Experience with Git, CI/CD, code reviews, testing, and production deployments

Valuable to Have Skills
Experience with Lakehouse and Medallion architecture
Knowledge of Data Modeling and Data Governance

Nice to Have Skills
Experience with Delta Live Tables (DLT)
Experience mentoring teams or leading technical discussions
Experience with Photon and Databricks Asset Bundles
Experience with Cluster Policies and Workspace Administration

Location: Pune, Hyderabad, Bhopal

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