Google Cloud Certified
Professional Data Engineer
Professional Data Engineer
A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.
The Professional Data Engineer exam assesses your ability to:
- check Design data processing systems
- check Build and Operationalize Data Processing Systems
- check Operationalize Machine Learning Models
- check Ensure Solution Quality
This exam is available in English, Japanese, Spanish, and Portuguese.
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 Professional Data Engineer exam. The format is multiple choice and multiple select. 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
- Language: English, Japanese, Spanish, Portuguese
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.
Take the training courses
Choose from on-demand or instructor led training
| Instructor-led | On demand |
|---|---|
|
Google Cloud Platform Fundamentals: Big Data & Machine Learning |
Data Engineering on Google Cloud Platform Specialization with Coursera:
Preparing for the Google Cloud Professional Data Engineer 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 GCP Essentials followed by the Data Engineering quest.
Documentation
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.
Assess your knowledge
Familiarize yourself with the type of questions that will be on the exam. Check your readiness to take this exam.
Schedule your exam
Register and find a location near you
Get certified!