Professional Data Engineer

Build and operate the data processing systems behind analytics and ML on Google Cloud, including BigQuery, Dataflow, and Pub/Sub, and track your readiness for the Professional Data Engineer exam.

Advanced

Prepare and test your skills

Advanced

Prepare and test your skills

Concept

extract, load, and transform

Topic in 4 exam domains

Also called: ELT, extract-load-transform

A data pipeline procedure where data is extracted and loaded into the data warehouse first, followed by transformations executed inside the data warehouse using SQL.

Where this appears on the exam

4 objectives in 2 of 5 domains

Domain 1
Designing data processing systems
~22% of exam
1. 1.4Designing data migrations
  - Analyzing current stakeholder needs, users, processes, and technologies, and creating a plan to get to desired state
Domain 2
Ingesting and processing the data
~25% of exam
1. 2.1Planning the data pipelines
  - Defining data transformation and orchestration logic
2. 2.2Building the pipelines
  - Data cleansing
  - Transformations

How learners score on this topic

Last updated October 15, 2026

Professional Data Engineer

Build and operate the data processing systems behind analytics and ML on Google Cloud, including BigQuery, Dataflow, and Pub/Sub, and track your readiness for the Professional Data Engineer exam.

Advanced

Prepare and test your skills

Advanced

Prepare and test your skills

Concept

extract, load, and transform

Topic in 4 exam domains

Also called: ELT, extract-load-transform

A data pipeline procedure where data is extracted and loaded into the data warehouse first, followed by transformations executed inside the data warehouse using SQL.

Where this appears on the exam

4 objectives in 2 of 5 domains

Domain 1
Designing data processing systems
~22% of exam
1. 1.4Designing data migrations
  - Analyzing current stakeholder needs, users, processes, and technologies, and creating a plan to get to desired state
Domain 2
Ingesting and processing the data
~25% of exam
1. 2.1Planning the data pipelines
  - Defining data transformation and orchestration logic
2. 2.2Building the pipelines
  - Data cleansing
  - Transformations

How learners score on this topic

Last updated October 15, 2026

Where this appears on the exam

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How learners score on this topic

Where this appears on the exam

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How learners score on this topic