Google Cloud Professional Data Engineer Training
Become a certified Google Cloud Professional Data Engineer. Learn how to design, deploy, and manage secure, scalable, and efficient data processing systems.
About This Certification
Overview The Google Cloud Certified Professional Data Engineer certification demonstrates your ability to collect, transform, and publish data to enable data-driven decision making. This course teaches practical skills in designing, building, managing, and troubleshooting data processing systems. You will gain expertise in system reliability, scalability, fault-tolerance, security, and efficiency, preparing you for real-world cloud data engineering challenges.
What Makes Our Program Different
| Feature | Our Program | Competitors |
|---|---|---|
| Exam Alignment | Fully mapped to Professional Data Engineer exam | Partial exam coverage |
| Learning Style | Hands-on data pipelines & labs | Concept-focused learning |
| GCP Data Services | BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud SQL | Limited service exposure |
| Real-World Scenarios | Production-scale data processing use cases | Sample datasets only |
| Performance Optimization | Query tuning & pipeline efficiency labs | Minimal optimization focus |
| Exam Readiness | Case-based questions & mock exams | Basic practice tests |
How Certification Transforms Careers
Design Scalable Data Pipelines
Build reliable batch and streaming pipelines using Google Cloud-native tools.
Process & Transform Data
Clean, transform, and enrich data efficiently for analytics and machine learning workloads.
Analytics & Insights
Enable fast querying and reporting using BigQuery and optimized data models.
Secure & Govern Data
Implement data security, access controls, and compliance across cloud data platforms.
- Design and maintain scalable data processing systems on Google Cloud
- Build batch and streaming data pipelines for analytics and ML use cases
- Optimize performance, reliability, and cost of data workloads
- Apply security and governance best practices for data platforms
- Prepare confidently for the Professional Data Engineer certification exam
Exam Format and Information
Exam for Google Professional Data Engineer
A Professional Data Engineer collects, transforms, and publishes data to allow data-driven decision making. A Data Engineer candidate should be able to design, implement, operationalize, protect, and monitor data processing systems with a focus on security and compliance, scalability and efficiency, dependability and fidelity, and flexibility and portability.
|
Exam Name |
Google Cloud Certified Professional Data Engineer |
|
Exam Duration |
120 Minutes |
|
Exam Type |
Multiple Choice Examination |
|
Passing Score |
No Scoring Criteria |
|
Exam Fee |
$200 |
|
Eligibility/Pre-Requisite |
None |
|
Validity |
2 Years |
|
Exam Languages |
English, Japanese, Spanish, Portuguese |
What Our RCDD Graduates Say
Daniel Roberts
Senior Data Engineer
“The hands-on BigQuery and Dataflow labs felt exactly like real production environments. This training helped me pass the exam on the first attempt.”
Sophia Martinez
Analytics Engineer
“The course explained complex data pipeline concepts clearly and practically. I now feel confident designing scalable solutions on Google Cloud.”
Ethan Collins
Cloud Solutions Engineer
“Excellent balance between theory and implementation. The exam scenarios matched the real certification questions very well.”