Description

•       Design, build, and orchestrate ETL/ELT pipelines using Azure Databricks.

•       Implement batch data ingestion and transformations using PySpark and Spark SQL.

•       Architect and maintain Lakehouse and analytical warehouse models (fact and dimension schemas) leveraging Delta Lake.

•       Ensure data quality, reliability, lineage, and governance across the data platform.

•       Collaborate with security and platform teams to enforce data access controls and best practices.

•       Experience on CI/CD pipelines using Git for Databricks "

"Required Skills & Experience

•       6-10 years of hands on experience in data engineering.

•       Strong, proven expertise in Azure Databricks and Delta Lake.

•       Advanced proficiency in SQL with a solid understanding of distributed data processing concepts.

•       Demonstrated experience leading, mentoring, or supervising data engineering teams.

•       Strong experience performing code reviews and solution design validations.

•       knowledge of data security, and access management (RBAC).

•       Preferred / Nice to Have Skills: Experience with Azure Synapse / Fabric, Azure Data Factory

Key Skills

Education

Bachelor's degree