Certification training
GCP-PDEProfessional Data Engineer
Google Cloud's Professional Data Engineer certification validates the ability to collect, transform, store, and deliver data for data-driven decisions; design and build robust data infrastructure optimized for performance and security; and evaluate and administer data platforms that meet business and regulatory needs.
Learning path options
Why attend
- Validates end-to-end data engineering capability, from ingestion and processing through storage and delivery
- Confirms the ability to design data infrastructure that meets business and regulatory needs
- Google Cloud's professional-level benchmark for data platform teams
Who should attend
- Data engineers with 3+ years of industry experience, including 1+ year designing and managing data solutions on Google Cloud, per Google's recommendation
- Data architects and analytics engineers building on BigQuery, Dataflow, and the wider Google data stack
- Teams operationalizing data platforms with security and governance requirements
What you'll learn
- Design data processing systems
- Ingest and process the data
- Store the data
- Prepare and use data for analysis
- Maintain and automate data workloads
Prerequisites
None. Google recommends 3+ years of industry experience, including 1+ year designing and managing solutions on Google Cloud.
Examination
2 hours, 40 to 50 multiple-choice and multiple-select questions, delivered online-proctored or onsite-proctored. Offered in English and Japanese.
Certification
- Valid for 2 years; renewal eligibility opens 60 days before the expiry date
- The certification and exam are issued by Google Cloud; DAI provides the training
Build this capability across your teams.
DAI Consultancy delivers Professional Data Engineer as a corporate cohort — in-person, virtual, or hybrid — structured around your organization's objectives.