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  • Certification Path
  • Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
  • Cloud
  • Data
  • Security

Google Cloud Professional Data Engineer by Pluralsight

3 Courses
1 Lab
9 Hours
Practice exam

**Note:** this learning path is actively in production. More content will be added to this page as it publishes and becomes available in the library. The planned content for this path includes the following: - Design Data Processing Systems - Ingest and Process the Data - Store the Data - Prepare and Use Data for Analysis - Maintain and automate data workloads

A **Professional Data Engineer** empowers data-driven decisions by collecting, transforming, storing, and delivering data for diverse applications. A Professional Data Engineer designs and builds robust data infrastructure, optimizing for performance and security. This individual evaluates and selects solutions to meet business and regulatory needs, and administers data platforms effectively. A Professional Data Engineer leverages the latest technologies for data processing, cleaning, enrichment, and query generation and translation. A Professional Data Engineer understands the intricacies of data storage and processing, and is adept at designing, building, deploying, monitoring, maintaining, optimizing, and securing complex workloads.

Content in this path
Path Courses

Watch the following courses to get learning about Google Cloud's Professional Data Engineer certification.

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Certification path

Build confidence to ace your certification exam with a variety of prep tools, including video courses, labs, and practice exams.

What You'll Learn
  • How to design data processing systems
  • How and when to ingest and process the data
  • How to store the data
  • What to do to prepare and use data for analysis
  • How to Maintain and automate data workloads
Prerequisites
  • There are no official prerequisites to obtain this certification. Google recommends 3+ years of industry experience including 1+ years designing and managing data solutions using Google Cloud.
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