Databricks Certified Data Engineer Professional
The Databricks Certified Data Engineer Professional certification is designed for senior data engineers who build, deploy, and maintain production-grade data pipelines on the Databricks Lakehouse Platform. It validates expertise in advanced streaming, optimization, and data architecture patterns.
What is the DEP Course?
The Databricks Certified Data Engineer Professional certification is designed for senior data engineers who build, deploy, and maintain production-grade data pipelines on the Databricks Lakehouse Platform. It validates expertise in advanced streaming, optimization, and data architecture patterns.
Who Should Take This Course?
- Senior Data Engineers with 2+ years of Databricks experience
- Data Platform Engineers building production pipelines
- MLOps engineers managing data pipelines for ML
- Data architects designing enterprise lakehouse systems
- Technical leads overseeing data engineering teams
What You Will Learn in the DEP Course
A comprehensive curriculum covering all exam objectives with hands-on labs and real-world practice.
Advanced Delta Lake
- Delta table optimization (ZORDER, OPTIMIZE)
- Change Data Feed
- Table cloning strategies
- Vacuum and retention policies
Production Streaming
- Stateful streaming transformations
- Watermarking and late data
- Exactly-once processing
- Kafka integration patterns
Advanced Delta Live Tables
- DLT with Python and SQL
- Event-driven DLT pipelines
- Multi-hop lakehouse patterns
- CDC with DLT
Performance Engineering
- Adaptive Query Execution (AQE)
- Spark UI and performance profiling
- Photon engine optimization
- Cluster sizing and autoscaling
Data Modeling & Architecture
- Medallion architecture patterns
- Slowly Changing Dimensions (SCD)
- Star and snowflake schemas in Delta Lake
- Data mesh concepts
Security, Governance & Testing
- Unity Catalog lineage tracking
- Data quality frameworks
- Unit testing Spark code
- Integration testing pipelines
Course Prerequisites
Pre-requisites training is free when you purchase the course from ProSupport
- Databricks Data Engineer Associate certification or equivalent experience
- 2+ years working with Databricks and Apache Spark
- Strong Python and Spark SQL skills
- Experience with production data pipeline deployment
Exam Information
Everything you need to know about the DEP certification exam.
| Exam Component | Details |
|---|---|
Exam Name | Databricks Certified Data Engineer Professional |
Exam Code | DEP |
Exam Type | Multiple Choice + Short Answer |
Total Questions | 60 |
Passing Score | 70% |
Exam Duration | 120 minutes |
Language | English |
Exam Provider | Databricks / Kryterion |
Exam Focus | Production-grade data engineering on Databricks |
Exam Registration | Databricks Academy portal |
Retake Policy | 14-day waiting period before retake |
Certification Validity | 2 years |
Exam Topics
Training Plans
Select the plan that matches your career goals
Basic
Certification Program
- Certification syllabus training
- Private instructor-led live classes
- Hands-on labs
- Practice exams
- Certification exam guidance
Pro
Certification + Projects
- Everything in Basic
- Real-world industry projects
- Case studies
- GitHub portfolio project
- Assignment reviews
- Capstone mini project
Premium
Career Acceleration
- Everything in Pro
- Resume building
- LinkedIn profile optimization
- Interview preparation
- Mock interviews
- Career mentoring sessions
- Capstone project
- Certification exam strategy
- Industry use-case training
Need custom enterprise pricing? info@prosupportconsulting.in
Learning Path
Your certification journey — from prerequisites to advanced roles.
Data Engineer Professional
Ready to Get Certified?
Start your Databricks Certified Data Engineer Professional journey with private 1-to-1 training from certified industry developers.