Google Cloud Certified - 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.

Exam Format

  • Length: 2 hours
  • Languages: English, Japanese.
  • Exam format: Multiple choice and multiple select taken remotely or in person at a test center.


  • Understanding of basic cloud computing concepts such as virtual machines and databases.
  • One year or more experience working with data management or data analysis

Target Audience

3+ years of industry experience including 1+ years designing and managing solutions using GCP.

Course Outline

  • Introduction
  • Cloud Storage for Data Engineering
  • Relational Database
  • NoSQL Databases
  • Analytical Databases
  • Migrating a Datawarehouse
  • Caching Data and Cloud Memorystore
  • Workflows and ELT