A Google Certified Professional - Data Engineer enables
data-driven decision making by collecting, transforming,
and visualizing 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
The Data Engineer also analyzes 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 has
demonstrated in our assessment their 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 this certification
This exam objectively measures an individual’s ability to
demonstrate the critical job skills for the role.
To earn this certification you must pass the Google
Certified Professional - Data Engineer exam.
This exam has no prerequisites.
This exam must be taken in-person at one of our testing
Locate a test center near you.
Format: Multiple choice and
Specifics about the beta exam
- Length: 4 hours
USD $110 (discounted from retail price of USD 200)
- Language: English
Note: All beta exams are scored after the beta
period closes. You will be notified if you passed or failed the exam
in February 2017. If you pass the beta exam, you are certified. Your
certification will be good for two years from receiving your notification
Please refer to our
for more information.
Preparing for your exam
The certification exams are designed to identify individuals
who demonstrate proficiency with certain critical job tasks.
Real-world, hands-on experience is the best preparation.
If you are not already proficient in the tasks listed in
the exam guide, here are some useful training resources and