A Professional Data Engineer enables data-driven decision making by collecting, transforming, and visualizing data. The Data Engineer designs, builds, maintains, and troubleshoots data processing systems with a particular emphasis on the security, reliability, fault-tolerance, scalability, fidelity, and efficiency of such systems. The Data Engineer also analyzes data to gain insight into business outcomes, builds statistical models to support decision-making, and creates machine learning models to automate and simplify key business processes. The Google Cloud Certified - Professional Data Engineer exam assesses your ability to:
- check Build and maintain data structures and databases
- check Design data processing systems
- check Analyze data and enable machine learning
- check Model business processes for analysis and optimization
- check Design for reliability
- check Visualize data and advocate policy
- check Design for security and compliance
Recommended training for this certification
Exams
Professional Data Engineer
- Length: 2 Hours
- Multiple choice
- Multiple select
- Taken in person
- Language: English / Japanese / Spanish / Portuguese