- 6+ years of experience in Data Engineering with at least 3+ years of hands-on experience in Databricks.
- Robust experience in PySpark, Python, and SQL development.
- Experience building scalable ETL/ELT pipelines on Databricks.
- Hands-on knowledge of Delta Lake, Unity Catalog, Databricks Workflows, and Notebooks.
- Experience working with cloud platforms such as AWS (S3, EC2, EMR, Redshift) or Azure.