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Certification training
Data Engineer Associate
The Databricks Certified Data Engineer Associate exam assesses the ability to use the Databricks Data Intelligence Platform for foundational data engineering tasks: from ingestion, transformation, and modelling through ETL with PySpark, Lakeflow Jobs, and CI/CD, to troubleshooting, governance, and security.
Associate24 hoursVirtual & On-site
Learning path options
Why attend
- Assesses real platform ability: ingestion, loading, transformation, modelling, and ETL with PySpark
- Covers the operational side too: Lakeflow Jobs, CI/CD, troubleshooting, monitoring, and optimization
- Two-year validity keeps certified skills current with the platform
Who should attend
- Data engineering professionals seeking foundational-level validation on Databricks
- Practitioners with hands-on experience of the tasks in the official exam guide, per Databricks' recommendation
What you'll learn
- Navigate the Data Intelligence Platform: workspace, architecture, and capabilities
- Ingest, load, transform, and model data on Databricks
- Build ETL tasks with PySpark
- Operate Lakeflow Jobs and CI/CD workflows
- Troubleshoot, monitor, and optimize pipelines
- Apply governance and security within Databricks
Prerequisites
None; Databricks highly recommends related training first.
Examination
45 scored multiple-choice questions, 90 minutes, online proctored or at a test center. Offered in English, Japanese, Brazilian Portuguese, and Korean.
Certification
- Valid for 2 years; recertification requires the current version of the exam
- The certification and exam are issued by Databricks; DAI provides the training
Build this capability across your teams.
DAI Consultancy delivers Data Engineer Associate as a corporate cohort — in-person, virtual, or hybrid — structured around your organization's objectives.