Databricks Certified Data Engineer Professional

Databricks Certified Data Engineer Professional

The Databricks Certified Data Engineering Professional exam validates a candidate's advanced skills in building, optimising, and maintaining production-grade data engineering solutions on the Databricks Lakehouse Platform. Successful candidates demonstrate expertise across core platform features such as Delta Lake, Unity Catalog, Auto Loader, Lakeflow Definitive Pipelines, Databricks Compute (including serverless) Lakeflow Jobs and the Medallion Architecture. This Certification assesses the ability to design secure, reliable, and cost-effective ETL Pipelines, process complex data from diverse sources using Python and SQL, and apply best practices in schema management, observability, governance, and performance optimization. Candidates are also tested on implementing streaming workloads, orchestrating workflows, leveraging DevOps & CI/CD, and deploying with tools like the Databricks CLI, REST API, and Asset Bundles. Professionals who earn this certification are proven to have the knowledge and hands-on experience required to deliver production-ready data engineering solutions on Databricks, with one or more years of experience on the Lakehouse Platform is strongly recommended.

The exam covers:

1. Developing Code for Data Processing using Python and SQL – 22%
2. Data Ingestion & Acquisition – 7%
3. Data Transformation, Cleansing, and Quality – 10%
4. Data Sharing and Federation – 5%
5. Monitoring and Alerting – 10%
6. Cost & Performance Optimisation – 13%
7. Ensuring Data Security and Compliance – 10%
8. Data Governance – 7%
9. Debugging and Deploying – 10%
10. Data Modelling – 6%