Professional Data Engineer

Overview

A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalise, 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 operationalise data processing systems

• Operationalise machine learning models

• Ensure solution quality

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.

Recommended training:

• Big Data & Machine Learning Fundamentals

• Data Engineering on Google Cloud Platform

Register and select the option to take the exam remotely or at a nearby testing center.

*Please note exams are not included with the course fee and need to be purchased separately in order to obtain certification.