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Google Certified Professional - Data Engineer

A Google Certified Professional - Data Engineer enables data-driven decision making by collecting, transforming, and visualising data. The Data Engineer designs, builds, maintains, and troubleshoots data processing systems with a particular emphasis on the security, reliability, fault-tolerance, scalability, fidelity, and efficiency of such systems.

The Data Engineer also analyses data to gain insight into business outcomes, builds statistical models to support decision-making, and creates machine learning models to automate and simplify key business processes.

A Google Certified Professional – Data Engineer certification means you demonstrate the ability to:

  • Build and maintain data structures and databases
  • Design data processing systems
  • Analyze data and enable machine learning
  • Model business processes for analysis and optimization
  • Design for reliability
  • Visualize data and advocate policy
  • Design for security and compliance.
Required exams Recommended Training Courses
Data Engineer exam

About the exam

This exam objectively measures an individual’s ability to demonstrate the critical job skills for the role. This exam must be taken in-person at a Kryterion testing center location.
Locate a test center near you.
Format: Multiple choice and multiple select.
Length: 4 hours


All Google certifications are valid for 2 years from the date certified, unless stated otherwise. Candidates must recertify in order to maintain their certification status.

More information

For more information about Google Cloud Platform training and certifications, please contact your Global Knowledge Google Cloud Training Advisor.

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