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.
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.
Google Cloud Fundamentals - Big Data and Machine Learning
This 1-day course introduces the big data capabilities of Google Cloud Platform.
Data Engineering on Google Cloud Platform
This 4-day course provides the skills required to design and build data processing systems on Google Cloud Platform.