Google Guaranteed-to-Run

Data Engineering on Google Cloud Platform

Data Engineering on Google Cloud Platform prepares data engineers and cloud architects to design scalable data pipelines and solve critical data integration challenges. With demand for certified data engineers growing 35% year-over-year and over 535,000 Google Cloud certifications held globally, this course delivers hands-on expertise in BigQuery, Dataflow, and Pub/Sub to build and automate robust data processing systems.

This training prepares learners for the Google Cloud Professional Data Engineer certification exam, which validates expertise in data architecture and processing. Koenig Solutions provides 30-day lab access and official vendor-authorized courseware, enabling learners to master real-world data engineering tasks and advance into roles with median salaries exceeding $158,000.

64 Hours (8 Days)
Live Online / Classroom
0+ professionals trained

Training Formats & Pricing

1-on-1 USD 3,800
Dedicated instructor, your schedule Fastest
Public Batch USD 3,100
Group class, fixed schedule Most Popular
Self-Paced On Request
Recorded sessions, learn anytime Best Value

100% Happiness Guarantee · Free Rescheduling · Secure Payment

Course Overview

Data Engineering on Google Cloud Platform by Google is a comprehensive training program designed for data engineers, data analysts, and cloud architects aiming to master scalable data processing systems on Google Cloud. This course directly prepares learners for the Professional Data Engineer certification, a globally recognized credential validating expertise in designing and managing data solutions. With over 75% of Fortune 500 companies adopting Google Cloud technologies, professionals equipped with these skills are in high demand. The curriculum targets individuals seeking to build production-ready data pipelines, optimize data lakes, and implement serverless data processing workflows using industry-leading tools.

Students engage with core Google Cloud services including BigQuery, Cloud Storage, Cloud SQL, Dataproc, Dataflow, and Cloud Composer during hands-on labs conducted in the Google Cloud Console. Through guided exercises, participants build end-to-end data pipelines, configure ETL workflows using both batch and streaming processing, and implement data governance policies. A key project involves constructing a real-time analytics pipeline using Dataflow and BigQuery, simulating enterprise-grade data ingestion and transformation scenarios. These labs provide practical experience in orchestrating complex workflows with Cloud Composer and applying machine learning models via BigQuery ML, all within a secure, scalable cloud environment.

By completing Data Engineering on Google Cloud Platform, candidates gain the skills needed to pass the Professional Data Engineer certification exam, which is endorsed by Google and highly valued across the tech industry. Certified professionals report average salary increases of up to 25%, with median data engineer salaries exceeding $120,000 annually. Koenig Solutions enhances this learning journey with official Google courseware, Guaranteed-to-Run scheduling, and optional 1-on-1 mentoring to ensure mastery. Graduates are positioned to lead data infrastructure initiatives, drive AI/ML adoption, and advance into senior cloud data roles within enterprise organizations.

What You'll Learn

Design scalable data processing systems on Google Cloud Platform using Data Engineering on Google Cloud
Implement efficient data ingestion pipelines with Dataflow in Google Cloud
Deploy batch processing jobs on Dataproc for large-scale data analysis
Secure data workloads in BigQuery to protect sensitive information
Automate ETL workflows on Google Cloud to streamline data integration
Monitor streaming analytics with Cloud Pub/Sub for real-time insights

Skills You'll Gain

Google Cloud Platform BigQuery Dataflow Data Engineering Cloud Data Pipelines Google Cloud Storage Pub/Sub Cloud Composer Dataproc Data Fusion BigQuery ML Cloud Dataflow Templates Cloud Functions Cloud Pub/Sub Lite Data Catalog Cloud SQL Cloud Bigtable

Prerequisites

Recommended knowledge before taking this course
  • To succeed in Data Engineering on Google Cloud Platform by Google, learners must be proficient in SQL, specifically JOINs, window functions, and DDL/DML operations. A solid understanding of relational database schemas is required for working with BigQuery and Dataflow. Additionally, students must have basic familiarity with the Google Cloud Console and Cloud Shell to navigate the environment and execute command-line tasks effectively.
Corporate Training
Get a Corporate Quote

Volume discounts · Dedicated account manager · Custom scheduling

Certification Exam

Everything you need to know about the Data Engineering on Google Cloud Platform certification exam

Exam Details
Exam Name
Data Engineering on Google Cloud Platform
Exam Cost
$200 USD
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Four attempts allowed per two-year period: 14 days after first failure, 60 days after second, and 365 days after third.
Let's Talk

Request for more information

Data Engineering on Google Cloud Platform

We'll respond within 1 business day · No spam, ever.

Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Data Engineering Fundamentals
Define the Data Engineering on Google Cloud role Analyze diverse data sources and destination sinks Evaluate optimized Google Cloud data formats Select scalable storage solutions on Google Cloud Govern enterprise metadata using Google Dataplex Exchange secure datasets via Analytics Hub Execute migrations using Storage Transfer Service Configure Datastream for real-time data replication
2
Day 2– Architecting Scalable Data Lakes
Design robust data lakes on Google Cloud Integrate Cloud SQL for structured relational data Accelerate ingestion using Transfer Appliance hardware Enforce comprehensive data governance standards Apply automated metadata tagging for discovery Harden data access security in Cloud Storage Monitor operational health of data lakes Leverage Dataplex for intelligent data discovery
3
Day 3– Developing Enterprise Data Warehouses
Architect warehouses using BigQuery Streamline high-speed loading into BigQuery Improve query performance with partitioned tables Manipulate complex nested and repeated data Optimize storage costs using table clustering Automate ingestion via BigQuery Data Transfer Execute cross-platform federated SQL queries Integrate Gemini for BigQuery to accelerate SQL development
4
Day 4– Deploying Batch and Serverless Pipelines
Process batch workloads using Dataproc clusters Run serverless Spark on Google Cloud Construct scalable pipelines with Google Dataflow Deploy reusable Dataflow templates for efficiency Orchestrate complex workflows with Cloud Composer Transform datasets using Dataform workflows Automate recurring tasks with Cloud Scheduler Integrate Vertex AI models into data pipelines
5
Day 5– Advanced Streaming and Pipeline Management
Ingest real-time streams using Google Pub/Sub Implement windowing and watermarking in Dataflow Stream high-velocity data to BigQuery and Bigtable Observe and monitor live streaming pipelines Implement ETL processes with Cloud Data Fusion Manage end-to-end pipelines with Cloud Composer Resolve and troubleshoot production pipeline failures Guarantee fault tolerance and system scalability

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

82%

of Data Engineering on Google Cloud Platform certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Data Engineering on Google Cloud Platform certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Data Engineer
  • Cloud Data Engineer
  • Big Data Engineer
  • Data Platform Engineer
  • GCP Data Architect
  • ETL Engineer

Companies Hiring

5,000+
Google Accenture Deloitte Capgemini Infosys TCS JPMorgan Chase Goldman Sachs Perficient Cognizant

and 5,000+ organizations worldwide seeking Data Engineering on Google Cloud Platform certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
Verified Reviews
4.9 / 5
Average Rating
95%
Would Recommend
1M+
Professionals Trained
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Data Engineering on Google Cloud Platform training course

Is the Google Cloud Professional Data Engineer certification exam included in the Data Engineering on Google Cloud Platform course fee?
The Google Cloud Professional Data Engineer certification exam is not included in the course fee. It costs $200 (plus tax) for the initial attempt, while the renewal exam is $100. You can schedule the exam via Pearson VUE for online or test center delivery.
What training formats are available for the Data Engineering on Google Cloud Platform course, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig offers the Data Engineering on Google Cloud Platform course in live online 1-on-1, public instructor-led, and self-paced Flexi formats. All public batches feature Guaranteed-to-Run scheduling, ensuring your training proceeds as planned without the risk of last-minute cancellations.
How long is lab access provided after the Data Engineering on Google Cloud Platform course, and what environment is used?
Koenig provides 30 days of post-training lab access using a live sandbox environment on Google Cloud. This allows you to master tools like BigQuery, Dataflow, and Pub/Sub with hands-on practice, eliminating the need for complex local setups or additional cloud passes.
What is the Koenig rescheduling and cancellation policy for the Data Engineering on Google Cloud Platform course?
Koenig allows free rescheduling with more than seven days' notice. A 50% fee applies if you cancel or reschedule within 10 days of the start date. Each course can be rescheduled once, and all public batches remain Guaranteed-to-Run for your convenience.
What is the format, duration, and passing criteria for the Google Cloud Professional Data Engineer certification exam?
The Google Cloud Professional Data Engineer exam is a 2-hour assessment featuring 40–50 multiple-choice and multiple-select questions. Google uses a scaled scoring model to determine results. You receive immediate pass or fail feedback upon completing the exam at a center or online.
How long is the Google Cloud Professional Data Engineer certification valid, and what is the renewal process?
The Google Cloud Professional Data Engineer certification is valid for 2 years. You can renew by passing a 1-hour renewal exam for $100, available 60 days before expiration. Alternatively, you may retake the standard $200 exam to maintain your professional certification status.
What post-training support does Koenig provide for the Data Engineering on Google Cloud Platform course?
Koenig provides 30 days of support, including session recordings, extended lab access, and 6 hours of free trainer consultation. You also receive targeted exam preparation materials and practice tests to ensure you are fully ready to pass your Google certification exam.
What are the recommended prerequisites for the Data Engineering on Google Cloud Platform course and certification?
Google recommends 3+ years of industry experience, including 1+ year focused on designing data solutions on Google Cloud. While there are no formal prerequisites, practical experience with BigQuery, Dataflow, and Pub/Sub is essential for mastering the course and passing the certification.
What is the salary impact and career outlook for those with the Google Cloud Professional Data Engineer certification?
Professionals with the Google Cloud Professional Data Engineer certification earn between $140,000 and $158,000 annually. GCP-certified engineers typically command a $16,000 salary premium. This credential is highly valued by industry leaders like Spotify, Twitter, and Snap for high-demand data roles.
How does Koenig's instructor-led training compare to self-study for the Google Cloud Professional Data Engineer certification?
Koenig's instructor-led training provides expert mentorship and structured labs, significantly increasing pass rates. With Guaranteed-to-Run scheduling and 30-day lab access, most learners achieve certification in 4–8 weeks, compared to the 3–6 months often required for self-study.
100%

Happiness Guarantee

We are so confident in the quality of our training that we offer a full money-back guarantee. Not satisfied? Contact us within 24 hours of your first session — we'll refund you completely, no questions asked.

Full Refund

Within 24 hours

No Questions

Asked ever

Secure Payment

Encrypted checkout

PCI DSS

Compliant