Associate Data Engineer in Databricks

In this track, you'll build the core data engineering skills used on Databricks. You'll start with SQL fundamentals: querying, aggregations, joins, window functions, common table expressions, and data manipulation. From there, you'll move into the Databricks platform, learn how to run analytics with Databricks SQL, and pick up the Python and Git basics needed to work in notebooks. You'll then explore the Lakehouse architecture, table management, and governance, before moving into scalable processing with PySpark and Spark SQL. The track concludes with hands-on practice building and troubleshooting transformation pipelines in Databricks.