dbt Analytics Engineering Certification
Validates expertise in using dbt (data build tool) for analytics engineering. Covers data transformation, testing, and documentation best practices.
Provider
dbt Labs
Level
Associate
Duration
1–2 months
Cost
$200
Passing Score
70%
Validity
2 years
Salary Impact
+$10,000–$18,000 avg
Prerequisites
SQL proficiency
Analytics engineering concepts
dbt hands-on experience
Exam Format
50 multiple-choice and practical questions, 120 minutes, $200 USD
Exam Topics & Weights
dbt fundamentals and CLI
25%
Data modeling and transformations
30%
Testing and documentation
25%
Production and CI/CD
20%
8-Week Study Plan
Weeks 1
Focus: dbt fundamentals and project structure
dbt documentation
dbt learn course
dbt CLI reference
Weeks 2-3
Focus: Models, sources, and materialization strategies
Data modeling with dbt
Materialization best practices
Source definitions
Weeks 4-5
Focus: Tests, validation, and data quality
dbt testing framework
Custom tests
Great Expectations integration
Weeks 6-7
Focus: Production dbt and cloud platforms
dbt Cloud
CI/CD integration
Scheduling and monitoring
Exam Tips & Strategies
SQL proficiency is essential—understand CTEs and window functions
Know the differences between table, view, and incremental materializations
Custom macros and Jinja templating appear in questions
Testing strategies (unique, not null, relationships) are important
Understanding the DAG and ref() dependencies is critical
dbt Cloud and scheduling knowledge is increasingly important
Ready to Apply? Use HireKit's Free Tools
AI-powered job search tools for dbt Analytics Engineering Certification
Add to Your Resume
Showcase this certification on an ATS-optimized resume
ATS Resume Checker
Verify your updated resume passes ATS screening
hirekit.co — AI-powered job search platform
Ready to start preparing for dbt Analytics Engineering Certification?
Get a personalized study plan and track your progress toward certification.
Start Learning