Professional Data Engineer Certification: Complete Guide 2025
Exam Code: GCP-9
Validates advanced skills in designing, building, and operationalizing data processing systems and machine learning models on Google Cloud Platform.
Exam Details
Professional Data Engineer Resources
Everything you need to prepare for and pass your exam
Practice Exam
Full-length Professional Data Engineer practice test
Exam Simulator
Realistic exam simulation experience
Mock Exam
Full-length timed mock exam
Study Guide
Comprehensive study materials
Exam Objectives
Official exam domains and topics
Free Practice Test
Free sample questions to try
Exam Domains & Topics
Master these 4 domains to pass your exam
Designing data processing systems
of exam
Building and operationalizing data processing systems
of exam
Operationalizing machine learning models
of exam
Ensuring solution quality
of exam
Who Should Take This Exam?
This certification is ideal for the following professionals
- Data engineers with 1+ years of hands-on experience with Google Cloud
- Data professionals experienced in designing and building data processing systems
- Engineers working with big data solutions and machine learning pipelines
- IT professionals looking to advance their data engineering careers on GCP
Recommended Study Timeline
Plan your preparation effectively
10-14 weeks
Recommended study duration
Weeks 1-2: Foundation
Review exam objectives & core concepts
Weeks 3-6: Deep Dive
Study each domain with hands-on practice
Weeks 7-8: Practice & Review
Take practice exams & focus on weak areas
Practice by Difficulty
Choose your challenge level
Practice Question Banks
Extensive question collections for thorough preparation
2025 Exam Resources
Latest materials updated for the current exam version
Career Opportunities
Related Job Titles
$128,000
Average Annual Salary
Prerequisites
Recommended 1+ years of hands-on experience with Google Cloud data services Strong understanding of database systems, data warehousing, and ETL processes Familiarity with programming languages such as Python, Java, or SQL Basic knowledge of machine learning concepts and data modeling
Professional Data Engineer FAQs
Common questions about the GCP-9 certification exam
The Professional Data Engineer certification validates your ability to design, build, secure, and operationalize data processing systems and machine learning models on Google Cloud. It demonstrates advanced skills in data pipeline creation, big data processing, and ML model deployment.
The Professional Data Engineer exam is considered challenging and requires hands-on experience with Google Cloud data services. It tests both theoretical knowledge and practical application across BigQuery, Dataflow, Pub/Sub, Cloud Storage, and machine learning services. Most candidates need 10-14 weeks of dedicated preparation.
Certified Google Cloud Data Engineers typically earn between $110,000 and $150,000 annually in the United States, with an average salary around $128,000. Salaries vary based on location, experience level, and company size, with senior positions in major tech hubs commanding higher compensation.
About the Professional Data Engineer Certification
The Professional Data Engineer (GCP-9) is a professional-level certification offered by Google Cloud. This certification validates your expertise in cloud computing and is recognized globally by employers seeking qualified professionals.
Why Get Professional Data Engineer Certified?
- Career Advancement: Certified professionals earn an average of $128,000 per year
- Industry Recognition: Google Cloud certifications are respected worldwide
- Skill Validation: Demonstrate your expertise to employers and clients
How to Prepare for GCP-9
Hydranode offers comprehensive preparation materials including practice exams, study guides, and free practice tests to help you pass on your first attempt.