Key Responsibilities:
Design, develop, and maintain scalable data pipelines using Databricks.
Work extensively with PySpark, Apache Spark, and SQL for data processing and transformation.
Develop and optimize ETL/ELT pipelines and data workflows.
Work with Delta Lake for data storage, processing, and optimization.
Implement data integration solutions across cloud and on-premise data sources.
Optimize Spark jobs and Databricks workloads for performance and cost.
Collaborate with data architects, analysts, and other engineering teams.

Required Skills:
5+ years of experience in Data Engineering.
Robust hands-on experience with Databricks, PySpark/Spark, and SQL.
Good knowledge of Delta Lake and data warehousing concepts.
Experience with cloud platforms such as Azure / AWS / GCP.
Experience in building and scheduling data pipelines.
Solid understanding of data modeling, ETL/ELT, and performance optimization.
Positive problem-solving and communication skills.

Preferred:
Experience with Databricks Workflows, Unity Catalog, and Delta Live Tables (DLT).
Databricks certification is a plus.

Pay: ₹90,000.00 - ₹120,000.00 per month

Benefits:
Provident Fund

Work Location: In person

📌 Databricks Engineer Exp : 5 7 Yr Pune (India)
🏢 ZecData Technology
📍 India