Skip to main Content

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 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
Data Engineer exam
  • Google Cloud Fundamentals: Big Data and Machine Learning
  • Data Engineering on Google Cloud Platform

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 selectLength: 4 hoursRegistration fee: XXXX

Recertification

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.

Cookie Control toggle icon