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Associate Data Engineer in Databricks

Updated 05/2026
Learn data engineering on Databricks with SQL, Python, and Spark, and prepare for the Databricks Certified Data Engineer Associate certification.
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DatabricksData Engineering37 hr

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Track Description

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.

Prerequisites

There are no prerequisites for this track
Associate Data Engineer in Databricks
13 Courses
Track
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