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Google Cloud Courses
GCP Data Engineer
5/5

Level

Advanced

Duration

8 weeks

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What is GCP Data Engineer?

Step into advanced analytics with Google Cloud through JastTech’s Professional Data Engineer training program—designed to equip you with the skills required to build, manage, and optimize modern data solutions at scale. This comprehensive course goes beyond the basics, empowering you to design intelligent, secure, and highly scalable data ecosystems on Google Cloud Platform (GCP).

You’ll gain in-depth knowledge of data architecture, learning how to design robust ETL and ELT pipelines, handle both batch and real-time data processing, and integrate multiple data sources seamlessly. The program also covers key GCP services used in the industry, helping you understand how to leverage tools for data ingestion, storage, processing, and visualization effectively.

Through hands-on labs, real-world case studies, and enterprise-level scenarios, you’ll develop practical expertise in building streaming pipelines, optimizing query performance, implementing data security best practices, and ensuring high availability and fault tolerance. You’ll also explore advanced concepts like data governance, workflow automation, and cost optimization—critical for modern cloud environments.

Whether you are a working professional aiming to transition into cloud data engineering or an aspiring data expert looking to strengthen your foundation, this course prepares you to solve real business problems using data. By the end of the program, you’ll be confident in designing end-to-end data solutions and ready to contribute to data-driven decision-making in any organization.

Job Roles You Can Achieve

After completing this course

  • GCP Data Engineer
  • BigQuery Developer
  • Cloud Analytics Engineer
  • Streaming Data Engineer
  • Data Integration Engineer
  • Data Warehouse Engineer
  • Hadoop Developer
  • Spark Developer
  • GCP Data Engineer
  • BigQuery Developer
  • Cloud Analytics Engineer
  • Streaming Data Engineer
  • Data Integration Engineer
  • Data Warehouse Engineer
  • Hadoop Developer
  • Spark Developer

GCP Data Engineer Curriculum

1
Module 01

GCP Fundamentals for Data Engineers

This module introduces Google Cloud core concepts and services essential for data engineering workloads. It establishes the foundation for understanding GCP architecture and resource management.

GCP global infrastructure and regions
Projects, billing, IAM basics
2
Module 02

Data Storage Solutions on GCP

Focuses on selecting and designing appropriate storage solutions based on access patterns and workloads. Learners compare structured, semi-structured, and unstructured data storage options.

Cloud Storage, BigQuery, Cloud SQL
Bigtable and Firestore use cases
3
Module 03

Data Ingestion & Integration

Covers batch and real-time data ingestion techniques from multiple sources. Emphasis is placed on scalability and reliability.

Pub/Sub and Data Transfer Service
Ingesting data from APIs and databases
4
Module 04

Data Processing with Dataflow & Dataproc

Explains distributed data processing using Apache Beam and Spark. Learners build scalable transformation pipelines.

Batch vs streaming pipelines
Dataflow pipelines and Dataproc clusters
5
Module 05

BigQuery Analytics & Optimization

Deep dive into BigQuery for large-scale analytics and reporting. Focus on performance tuning and cost optimization.

Data modeling and partitioning
Query optimization and BI Engine

Related Courses

Training Roadmap

Seven intentional milestones — from first session to dream job.

Onboarding

01
  • Meet your industry mentor
  • Define your goals
  • Skill gap assessment

Core Learning

02
  • Live interactive classes
  • AI-curated content
  • Recorded sessions

Hands-on Practice

03
  • Weekly assignments
  • MCQ evaluations
  • Module quizzes

Real Projects

04
  • 3 live industry projects
  • Portfolio building
  • Case studies

Mentorship

05
  • 1:1 doubt sessions
  • Peer collaboration
  • Expert feedback

Certification

06
  • Exam preparation
  • Practice dumps
  • Industry-recognised certificate

Career Launch

07
  • Resume crafting
  • Mock interviews
  • Job placement support

Key Projects

Hands-on experience with real-world scenarios designed for mastery.

Real-Time IoT Data Streaming & Analytics Platform

This project focuses on building a real-time data ingestion and analytics platform using GCP Pub/Sub, Dataflow, and BigQuery. Sensor data is streamed continuously, transformed in real time, and stored for analytical querying. The pipeline ensures low latency, scalability, and fault tolerance while enabling dashboards and alerts for operational insights. The project reflects real-world streaming architectures used in IoT and smart infrastructure systems.

Enterprise Sales Data Warehouse on BigQuery

This project involves designing and implementing a centralized enterprise data warehouse using BigQuery. Data from multiple transactional systems is ingested, cleaned, and modeled into analytics-ready schemas. Partitioning, clustering, and cost optimization techniques are applied to support high-performance reporting and BI workloads. The project mirrors enterprise reporting and decision-support systems.

Batch ETL Pipeline for Financial Transaction Processing

This project focuses on developing a batch ETL pipeline using Cloud Storage, Dataproc, and BigQuery to process large volumes of financial transactions. Business rules are applied for validation, aggregation, and compliance checks. The pipeline is orchestrated using Cloud Composer with monitoring and failure handling. The project represents regulated, high-volume data processing systems used in financial institutions.

Skills and Tools You Will Learn

Big Query

Big Query

SQL

SQL

Apache Spark

Apache Spark

Linux

Linux

PubSub

PubSub

Dataproc

Dataproc

Hive

Hive

Dataflow

Dataflow

Cloud Composer

Cloud Composer

cloud storage

cloud storage

Available Course Schedules

Select a schedule that works best for you

Weekend

Starts

23 May 2026

Time

09:30 AM – 12:30 PM

Duration

8 weeks

Weekdays

Starts

25 May 2026

Time

07:00 AM – 09:00 AM

Duration

8 weeks

Weekend

Starts

30 May 2026

Time

02:00 PM – 05:00 PM

Duration

8 weeks

Weekdays

Starts

01 Jun 2026

Time

08:00 PM – 10:00 PM

Duration

8 weeks

Need a custom schedule?

Our team will craft the perfect batch for you.

What Our Happy Clients Say

Real Feedback from our clients

What We Offer Beyond Courses

24/7 Support

Round-the-clock assistance

LinkedIn Profile

Professional profile building

Resume Writing

Expert resume crafting

Alumni Guidance

Mentorship from graduates

Interview Prep

Mock interviews & tips

Live Projects

Real-world experience

Review from Tejas Kumar

Tejas Kumar

Review from Sakshi Singh

Sakshi Singh

Review from Sanjay Patel

Sanjay Patel

Specialized Training Programs

JastTech For Corporates

JastTech Courses

Certification Details

GCP Data Engineer – Associate

  • Exam Name

    GCP Data Engineer – Associate

  • Exam Code

    SAA-C03

  • Duration

    130 minutes

  • Format

    Multiple Choice & Multi-Response

  • Passing Score

    720 (Scale: 100–1000)

  • Level

    Associate

Certificate of Completion

Prepare

Top Interview Questions

Curated questions with expert answers to help you ace your next interview.

Q1: What is the role of a GCP Data Engineer?

A GCP Data Engineer designs, builds, and manages scalable data pipelines and analytics systems on Google Cloud, ensuring data reliability, security, and performance.

Q2: When would you use Dataflow over Dataproc?

Dataflow is preferred for fully managed, serverless batch and streaming pipelines, while Dataproc is used for Spark or Hadoop workloads requiring more control.

Q3: How does BigQuery handle large-scale analytics efficiently?

BigQuery uses a distributed, columnar storage engine with automatic scaling, query optimization, and separation of storage and compute.

Q4: How do you secure sensitive data on GCP?

Using IAM roles, encryption at rest and in transit, VPC Service Controls, and audit logging to enforce access and compliance.

Q5: What factors influence storage selection on GCP?

Data structure, access patterns, latency requirements, scalability, and cost considerations determine the appropriate storage service.

Support

Frequently Asked FAQs

Can't find what you're looking for? Reach out to our support team anytime.

Q1: Who should take this course?

This course is ideal for data engineers, cloud engineers, BI professionals, and software developers transitioning to cloud-based data roles.

Q2: Are coding skills required?

Basic SQL and familiarity with Python are recommended, but the course gradually builds practical skills.

Q3: Does this course prepare me for GCP certification?

Yes, it aligns closely with the Google Professional Data Engineer certification blueprint.

Q4: Will I get hands-on experience?

Yes, the course includes practical labs, real-world projects, and pipeline design exercises.

Q5: Is this course suitable for enterprise use cases?

Absolutely. All examples and projects reflect real enterprise-scale data engineering scenarios.

The support team was very cooperative and responsive. They made sure all doubts were cleared without delay. Great experience overall.

Vedant Shinde
Vedant Shinde

I had a great experience with the RF Circuit Design course. Thanks to the teaching staff for such a well planned and structured curriculum it really helped me clear my technical certification for my job.

Irfan Shah
Irfan Shah

I enrolled in the Post-Silicon Validation Certification Training at JastTech and found it quite different from typical courses. They focus on debugging techniques and real chip-level scenarios, which gave me a better idea of how things work.

Gayatri Sonawane
Gayatri Sonawane

One thing I really liked about the Data Analyst course at JastTech is their focus on consistency. Regular sessions and tasks help you stay on track and build a daily learning habit. Also, they provide recordings after live sessions, which help in revision.

Sanmitra Kamble
Sanmitra Kamble

I joined JastTech for the DFT course a few months back. At first, I wasn’t sure what to expect, but the classes turned out to be really helpful. The teaching is simple and not too complicated, which helped me keep up.

sachin kumar
sachin kumar

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