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 leverage, deploy, and continuously train pre-existing Machine Learning models.
3+ years of industry experience, including 1+ years of designing and managing solutions using GCP.
You can review the exam guide here.
Don’t forget to review the case studies!
You can view the preferred learning path here.
You can register for and attend a webinar here.
You can view additional resources on the concepts and critical components of GCP by visiting:
You can view the sample questions for this certification here.
Register for your exam here.
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