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Certification training
Data Engineer Professional
The Databricks Certified Data Engineer Professional exam validates advanced skills in building, optimizing, and maintaining production-grade data engineering solutions on the Databricks Data Intelligence Platform.
Professional32 hoursVirtual & On-site
Learning path options
Why attend
- Validates advanced, production-grade capability rather than platform familiarity
- Weighted toward what production demands: code development in Python and SQL (22%) and cost and performance optimization (13%)
- Covers security, compliance, and governance alongside engineering depth
Who should attend
- Experienced data engineers building and operating production Databricks workloads
- Practitioners with hands-on experience of the tasks in the official exam guide, per Databricks' recommendation
What you'll learn
- Develop data processing code in Python and SQL
- Ingest, transform, cleanse, and assure data quality at production standard
- Optimize cost and performance
- Monitor, alert, debug, and deploy reliably
- Apply security, compliance, and governance controls
- Model and share data, including federation scenarios
Prerequisites
None; Databricks highly recommends related training first.
Examination
59 scored multiple-choice questions, 120 minutes, online proctored or at a test center, across ten weighted domains. 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 Professional as a corporate cohort — in-person, virtual, or hybrid — structured around your organization's objectives.