Google Updated Professional-Data-Engineer Exam Blueprint, Syllabus and Topics

Professional Data Engineer

Professional Data Engineers enable 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
• Operationalize machine learning models
• Ensure solution quality
• Build and operationalize data processing systems