Radical Technologies
Data Engineering
★★★★★
(2,095 ratings)  50,000+ Student

GCP DATA ENGINEER

A GCP (Google Cloud Platform) Data Engineer is a professional responsible for designing, implementing, and managing data solutions on Google Cloud. Their primary role is to ensure that data is collected, processed, and made available for analysis, reporting, and machine learning. Google Cloud Platform to enable organizations to harness the power of their data for insights, reporting, and machine learning

RT
Radical Technologies
50,000+ English 40 hours Weekdays / Weekends Classroom / Online / Corporate
Online / Classroom

GCP DATA ENGINEER

IT Training Programme

Duration 40 hours
Batch Type Weekdays / Weekends
Mode of Training Classroom / Online / Corporate
Locations Pune, Bangalore, Kochi
Language English
Certification Globally Recognized
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What you'll learn

Understand core concepts and architecture from the ground up
Get hands-on with the tools used by working professionals
Build real-world projects you can add to your portfolio
Learn industry best practices and coding standards
Practice with real datasets and real-world scenarios
Prepare for certification and technical interviews
Work on collaborative, team-based exercises
Apply performance tuning and optimization techniques
Understand how the technology fits into a larger ecosystem
Complete assignments reviewed by mentors

Programme Overview

15 sections covering the complete curriculum — a single, progressive learning arc.

40 hours
Training Duration
15
Core Modules
73
Total Lessons
4.8
Average Rating
50K+
Students Trained
01

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup
02

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs
03

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies
04

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices
05

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms
06

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a Data Engineering role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

15 sections  •  73 lessons  •  40 hours

01 Module 1: Google Cloud Dataproc Overview
Creating and managing clusters.
Leveraging custom machine types and preemptible worker nodes.
Scaling and deleting Clusters.
Lab: Creating Hadoop Clusters with Google Cloud Dataproc.
02 Module 2: Running Dataproc Jobs
Running Pig and Hive jobs.
Separation of storage and compute.
Lab: Running Hadoop and Spark Jobs with Dataproc.
Lab: Submit and monitor jobs.
03 Module 3: Integrating Dataproc with Google Cloud Platform
Customize cluster with initialization actions.
BigQuery Support.
Lab: Leveraging Google Cloud Platform Services.
04 Module 4: Making Sense of Unstructured Data with Google’s Machine Learning APIs
Google’s Machine Learning APIs.
Common ML Use Cases.
Invoking ML APIs.
Lab: Adding Machine Learning Capabilities to Big Data Analysis.
05 Module 5: Serverless data analysis with BigQuery
What is BigQuery.
Queries and Functions.
Lab: Writing queries in BigQuery.
Loading data into BigQuery.
Exporting data from BigQuery.
Lab: Loading and exporting data.
Nested and repeated fields.
Querying multiple tables.
Lab: Complex queries.
Performance and pricing.
06 Module 6: Serverless, autoscaling data pipelines with Dataflow
The Beam programming model.
Data pipelines in Beam Python.
Data pipelines in Beam Java.
Lab: Writing a Dataflow pipeline.
Scalable Big Data processing using Beam.
Lab: MapReduce in Dataflow.
Incorporating additional data.
Lab: Side inputs.
Handling stream data.
GCP Reference architecture.
07 Module 7: Getting started with Machine Learning
What is machine learning (ML)
Effective ML: concepts, types.
ML datasets: generalization.
Lab: Explore and create ML datasets.
 
08 Module 8: Building ML models with Tensorflow
Getting started with TensorFlow.
Lab: Using tf.learn.
TensorFlow graphs and loops + lab.
Lab: Using low-level TensorFlow + early stopping.
Monitoring ML training.
Lab: Charts and graphs of TensorFlow training.
09 Module 9: Scaling ML models with CloudML
Why Cloud ML?
Packaging up a TensorFlow model.
End-to-end training.
Lab: Run a ML model locally and on cloud.
10 Module 10: Feature Engineering
Creating good features.
Transforming inputs.
Synthetic features.
Preprocessing with Cloud ML.
Lab: Feature engineering.
11 Module 11: Architecture of streaming analytics pipelines
Stream data processing: Challenges.
Handling variable data volumes.
Dealing with unordered/late data.
Lab: Designing streaming pipeline.
12 Module 12: Ingesting Variable Volumes
What is Cloud Pub/Sub?
How it works: Topics and Subscriptions.
Lab: Simulator.
13 Module 13: Implementing streaming pipelines
Challenges in stream processing.
Handle late data: watermarks, triggers, accumulation.
Lab: Stream data processing pipeline for live traffic data.
14 Module 14: Streaming analytics and dashboards
Streaming analytics: from data to decisions.
Querying streaming data with BigQuery.
What is Google Data Studio?
Lab: build a real-time dashboard to visualize processed data.
15 Module 15: High throughput and low-latency with Bigtable
What is Cloud Spanner?
Designing Bigtable schema.
Ingesting into Bigtable.
Lab: streaming into Bigtable.

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

73+
Hands-On Lessons
15
Core Modules
40 hours
Training Duration
100%
Practical Training

You don't just learn GCP DATA ENGINEER. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

Requirement Analysis

Guided Implementation

Mentor Review

Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief
Step-by-step implementation
Mentor feedback and review
Documented outcome
Stack Core Concepts Best Practices
PROJECT // 02

Applied Practice Project

Scenario Design

Independent Build

Testing & Validation

Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation
Testing and validation
Documentation
Peer/mentor review
Stack Applied Skills Testing
PROJECT // 03

Capstone Project

Planning

End-to-End Build

Review & Refinement

Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution
Presentation-ready documentation
Mentor sign-off
Portfolio-ready deliverable
Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

Start Date Time Day Mode Enroll
19/09/2026 08:00 PM – 10:00 PM Weekend Online Enroll Now

Why Radical Technologies

Live Online Training
  • Highly practical oriented training
  • Installation support on your system
  • 24/7 Email and Phone support
  • 100% Placement Assistance
  • Global Certification Preparation
  • Trainer-Student Interactive Portal
  • Assignments and Projects by Mentors
Live Classroom Training
  • Weekend / Weekdays / Morning / Evening batches
  • 80:20 Practical and Theory ratio
  • Real-life Case Studies
  • Easy make-up for missed sessions
  • PSI | Kryterion | Redhat Test Centers
  • Lifetime Video Classroom Access (coming soon)
  • Resume Prep and Mock Interviews
Self-Paced Training
  • Learn 300+ courses at your own time
  • 50,000+ Satisfied Learners
  • Course Completion Certificate
  • Practical Labs available
  • Mentor Support available
  • Doubt Clearing Session available
  • 10% Discounted Global Certification

Like the Curriculum? Let's Get Started

Join 50,000+ students already enrolled at Radical Technologies

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Certificate of Completion

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.

Career Support

Course Completed? Need next steps?
Need Interview Supports?
Need Job Assistance?
Came from any other Institute?

Join our Brush-up Session & get support until you find a job!

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Radical Learning Eco-System

Exam Simulator

Cloud SandBox

Hands-on Cloud Lab

Developer Coding Ground

Student Reviews

4.8★
Average learner rating
50K+
Students trained
30+
Hiring companies alumni work at
100%
Placement assistance
4.8
★★★★★

Course Rating

★★★★★
85%
★★★★☆
12%
★★★☆☆
2%
★★☆☆☆
1%
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The Google Cloud Data Engineer course at Radical Technologies transformed my career trajectory. The hands-on projects and personalized guidance helped me gain confidence in working with GCP services.
S Satisfied Student
Radical Technologies provided me with the knowledge and skills needed to ace the GCP Data Engineer certification exam. I highly recommend their course to anyone looking to excel in cloud data engineering.
S Satisfied Student
As a beginner in cloud computing, I found Radical Technologies' GCP Data Engineer course to be incredibly insightful and well-structured. The instructors were patient and supportive throughout my learning journey.
S Satisfied Student
I enrolled in Radical Technologies' Google Cloud Data Engineer course to enhance my skills and stay competitive in the job market. The comprehensive curriculum and practical approach exceeded my expectations.
S Satisfied Student
The job placement assistance provided by Radical Technologies was invaluable. Thanks to their support, I secured a position as a Data Engineer at a leading tech company.
S Satisfied Student
Radical Technologies' GCP Data Engineer training equipped me with the necessary tools to tackle real-world data engineering challenges. I'm grateful for the opportunity to learn from industry experts.
S Satisfied Student
I was impressed by the depth of knowledge shared by the instructors at Radical Technologies. Their passion for teaching and expertise in Google Cloud Platform made the learning experience truly enriching.
S Satisfied Student
The Google Cloud Data Engineer certification course at Radical Technologies was a game-changer for me. I now feel confident in my abilities to design and implement data solutions on GCP.
S Satisfied Student
Enrolling in Radical Technologies' GCP Data Engineer course was one of the best decisions I made for my career. The skills I acquired have opened up numerous opportunities for advancement.
S Satisfied Student
The support and encouragement I received from the Radical Technologies team were instrumental in my success. I can't thank them enough for their dedication to student growth and development.
S Satisfied Student
Radical Technologies' Google Cloud Data Engineer course provided me with a solid foundation in cloud data engineering principles. I'm excited to apply what I've learned in my future projects.
S Satisfied Student
I highly recommend Radical Technologies to anyone interested in pursuing a career in GCP Data Engineering. The quality of instruction and resources surpassed my expectations.
S Satisfied Student
The hands-on experience gained through Radical Technologies' GCP Data Engineer course was invaluable. I feel well-prepared to tackle complex data engineering projects in the real world.
S Satisfied Student
The instructors at Radical Technologies are not only knowledgeable but also passionate about helping students succeed. Their mentorship played a significant role in my learning journey.
S Satisfied Student
I'm grateful for the practical skills I acquired during my time at Radical Technologies. The Google Cloud Data Engineer course gave me the confidence to pursue my dream job.
S Satisfied Student
Radical Technologies' GCP Data Engineer training provided me with a comprehensive understanding of cloud data engineering concepts. I'm excited to leverage my newfound knowledge in my career.
S Satisfied Student
The support staff at Radical Technologies went above and beyond to ensure my success. Their commitment to student satisfaction sets them apart from other training institutes.
S Satisfied Student
The Google Cloud Data Engineer course at Radical Technologies was both challenging and rewarding. I appreciated the emphasis on hands-on learning and real-world applications.
S Satisfied Student
I was impressed by the practicality of the curriculum at Radical Technologies. The skills I gained have been instrumental in advancing my career as a Data Engineer.
S Satisfied Student
Radical Technologies' GCP Data Engineer course provided me with the expertise needed to excel in the field of cloud data engineering. I'm grateful for the opportunity to learn from industry professionals.
S Satisfied Student
Enrolling in Radical Technologies' Google Cloud Data Engineer course was a turning point in my career. The knowledge and skills I acquired have opened doors to exciting opportunities.
S Satisfied Student
I can't thank Radical Technologies enough for their support and guidance throughout my GCP Data Engineer training. I feel confident in my abilities to tackle complex data projects.
S Satisfied Student
The instructors at Radical Technologies were not only knowledgeable but also approachable. Their dedication to student success made all the difference in my learning experience.
S Satisfied Student
Radical Technologies' GCP Data Engineer course exceeded my expectations. The practical assignments and real-world case studies helped solidify my understanding of cloud data engineering concepts.
S Satisfied Student
I would recommend Radical Technologies to anyone looking to kickstart their career in cloud data engineering. The quality of instruction and resources provided unparalleled value.
S Satisfied Student

Frequently Asked Questions

15 questions about the GCP DATA ENGINEER course.

01 What is a Google Cloud Data Engineer?
A Google Cloud Data Engineer is a professional who designs, builds, and maintains data processing systems on Google Cloud Platform (GCP).
02 What does a GCP Data Engineer do?
GCP Data Engineers work on designing, implementing, and managing data pipelines, databases, and analytics solutions using Google Cloud technologies.
03 What skills are required to become a Google Cloud Data Engineer?
Skills required include knowledge of GCP services like BigQuery, Dataflow, Pub/Sub, and proficiency in programming languages such as Python and SQL.
04 How long does it take to complete the Google Cloud Data Engineer course?
The duration varies depending on the course structure, but typically it ranges from a few weeks to a few months.
05 Is the Google Cloud Data Engineer course suitable for beginners?
Yes, many courses are designed to cater to beginners, providing fundamental knowledge before delving into advanced topics.
06 What are the prerequisites for the GCP Data Engineer course?
Basic understanding of data concepts, familiarity with cloud computing, and programming skills are beneficial but not always required.
07 Will I receive a certification upon completing the Google Cloud Data Engineer course?
Most courses offer certification upon successful completion, which can enhance your credentials in the job market.
08 How can a Google Cloud Data Engineer certification benefit my career?
GCP Data Engineer certification demonstrates your proficiency in using Google Cloud services, making you more attractive to employers in need of cloud data expertise.
09 Can I pursue the GCP Data Engineer course online?
Yes, there are various online platforms offering GCP Data Engineer training, allowing you to learn at your own pace from anywhere with internet access.
10 Does the Google Cloud Data Engineer course cover hands-on projects?
Many courses include hands-on projects that simulate real-world scenarios, helping you gain practical experience.
11 What job opportunities are available after completing the Google Cloud Data Engineer course?
Job opportunities include roles such as Data Engineer, Cloud Engineer, Data Analyst, and Solutions Architect in companies leveraging GCP for their data needs.
12 Is job placement assistance provided after completing the GCP Data Engineer course?
Yes, many institutes offer job placement assistance, including resume building, interview preparation, and connecting you with potential employers.
13 Can I take the GCP Data Engineer certification exam after completing the course?
Yes, upon completing the course, you’ll be well-prepared to take the GCP Data Engineer certification exam to validate your skills.
14 Are there any discounts available for the Google Cloud Data Engineer course?
Some institutes offer discounts or scholarships based on criteria such as academic performance or financial need.
15 Is the Google Cloud Data Engineer course instructor-led or self-paced?
Courses may be offered in both formats, allowing you to choose the one that best fits your learning style and schedule.

GCP DATA ENGINEER Interview Questions

10 questions commonly asked in GCP DATA ENGINEER interviews.

  1. 01 Can you explain your experience with Google Cloud Platform (GCP) and how it relates to your role as a Data Engineer?
  2. 02 How do you approach designing data pipelines on Google Cloud Platform? Can you walk us through a project where you implemented such pipelines?
  3. 03 What are some common challenges you’ve faced when working with BigQuery, and how did you overcome them?
  4. 04 Can you discuss your experience with data transformation and processing using GCP Dataflow?
  5. 05 How do you ensure data integrity and reliability when designing and implementing databases on Google Cloud Platform?
  6. 06 Can you explain the significance of Pub/Sub in the context of real-time data processing on GCP?
  7. 07 Have you worked with any specific GCP services or tools for data visualization and analytics? If so, can you provide examples of projects where you utilized these tools?
  8. 08 How do you optimize data storage and retrieval performance in Google Cloud Storage?
  9. 09 What strategies do you employ to monitor and troubleshoot data pipelines and processing jobs in GCP?
  10. 10 Can you discuss your experience with deploying and managing data processing applications on Google Kubernetes Engine (GKE)?

GCP Data Engineer Course Certification with Training in Pune

Welcome to Radical Technologies, your premier destination for comprehensive training in Google Cloud Platform (GCP) Data Engineering. At Radical Technologies, we specialize in offering cutting-edge courses and certifications tailored to empower aspiring professionals with the skills and expertise needed to excel in the dynamic field of cloud data engineering.

Our institute, located in Pune, is renowned for its excellence in providing top-notch Google Cloud Data Engineer courses, training, and certifications. With a focus on practical learning and real-world applications, we ensure that our students not only grasp theoretical concepts but also gain hands-on experience in utilizing GCP services effectively.

With a team of experienced instructors who are industry experts in GCP data engineering, we provide personalized attention to each student, ensuring that they receive the guidance and support needed to succeed. Our curriculum covers a wide range of topics, including data processing, storage, analytics, machine learning, and more, all within the context of Google Cloud Platform.

At Radical Technologies, we understand the importance of job placement assistance in today’s competitive market. That’s why we offer comprehensive support to our students, including resume building, interview preparation, and networking opportunities with potential employers. Our goal is not just to train students but to empower them to secure fulfilling careers in the field of cloud data engineering.

Whether you’re a beginner looking to kickstart your career or an experienced professional aiming to upskill and advance in your field, our Google Cloud Data Engineer courses are designed to meet your needs. Join us at Radical Technologies and embark on a transformative learning journey towards becoming a proficient GCP Data Engineer.

Experience the Radical difference – where excellence meets opportunity, and where your aspirations become achievements. Unlock your potential with us today and embark on a rewarding career in Google Cloud Platform Data Engineering.

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TCS
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Zensar Technologies
Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies

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