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 exam
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. The format is
multiple choice and multiple select and is available in English and Japanese.
The exam has no prerequisites. This exam must be taken in-person at one of
our testing center locations.
Locate a test center near you.
Length: 2 hours
Registration fee: USD $200
Path to Success
Review the exam guide
View an outline of the
topics that may appear on the exam and you are expected to know in order to
demonstrate proficiency. Some of the questions on the exam may refer you to a
case study that describes a fictitious business and solution concept. Review
the sample case studies
that may appear on your exam.
Take the training courses
Get yourself up to speed and learn best practices.
Find classes focusing on each of
the technical skills covered in the exam.
Practice with Qwiklabs
Get hands-on practice working with Google Cloud technologies. Learn at your
own pace with a series of labs that are available on-demand. Start with
Essentials followed by the Data Engineering quest.
Visit the documentation page with overviews and in-depth
discussions on the concepts and critical components of GCP.
Draw on your own experience
We can’t stress enough the value of your own work experience. Use the provided
resources along with your work experience to prepare for this exam.
Schedule your exam
Register and find a location near you.