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:

  • Design data processing systems
  • Build and Operationalize Data Processing Systems
  • Operationalize Machine Learning Models
  • 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

Preparing for the Professional Data Engineer Examination

Data Engineering on Google Cloud Platform Specialization with Coursera:

  • Google Cloud Platform Big Data and Machine Learning Fundamentals
  • Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform
  • Serverless Data Analysis with Google BigQuery and Cloud Dataflow
  • Serverless Machine Learning with Tensorflow on Google Cloud Platform
  • Building Resilient Streaming Systems on Google Cloud Platform

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.


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!