Robust programming skills in Python and/or Scala, with deep hands-on expertise in PySpark and Spark SQL.
Solid experience with Delta Lake (ACID transactions, time travel, schema evolution, optimize/vacuum/Z-ordering, liquid clustering).
Hands-on experience with Lakeflow / Delta Live Tables (DLT) for building declarative, quality-controlled pipelines.
Working knowledge of Unity Catalog for centralized governance, fine-grained access control, data lineage, and cross-workspace data sharing.
Experience with Databricks Workflows/Jobs for pipeline orchestration, scheduling, and monitoring.
Proficiency with at least one major cloud platform (AWS, Azure, or GCP) and its native storage/compute/security services.
Experience with streaming technologies such as Structured Streaming, Kafka, Event Hubs, or Kinesis.
Robust SQL skills, including performance tuning, partitioning strategies, and query optimization on large datasets.
Familiarity with CI/CD for data platforms Databricks Asset Bundles, Git-based version control, Terraform, and automated testing/deployment pipelines.
Understanding of data modeling concepts (dimensional modeling, medallion/lakehouse architecture) and data warehousing

📌 Databricks Certified Bengaluru
🏢 Zensar
📍 Bengaluru