Data Engineer Professional

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 optimisation (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
• Optimise 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 centre, 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