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High Demanding course
GCP Data Engineer Training in Hyderabad
5.0

Level

Advanced

Duration

8 weeks

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What is GCP Data Engineer Training in Hyderabad?

Master cloud analytics with industry-focused GCP Data Engineer Training in Hyderabad. This comprehensive course covers Google Cloud Platform services like BigQuery, Cloud Storage, Dataflow, Pub/Sub, and ETL pipeline development. Gain hands-on experience with real-time data processing, data warehousing, and cloud migration projects guided by certified trainers. Designed for freshers and working professionals, the training includes online training in Hyderabad, certification preparation, interview guidance, and practical assignments. Build in-demand skills in cloud data engineering, machine learning integration, scalable data solutions, and Google Cloud certification to advance your career in Hyderabad’s growing IT and cloud computing industry.

Job Roles You Can Achieve

After completing this course

  • Google Cloud Data Engineer
  • Cloud Data Engineer
  • ETL Developer
  • Cloud Solutions Architect
  • Big Data Engineer
  • Data Analyst
  • Google Cloud Data Engineer
  • Cloud Data Engineer
  • ETL Developer
  • Cloud Solutions Architect
  • Big Data Engineer
  • Data Analyst

GCP Data Engineer Training in Hyderabad Curriculum

1
Module 01

Introduction to Google Cloud Platform

Learn the fundamentals of Google Cloud services, architecture, and cloud computing concepts.

Overview of GCP
Cloud Computing Fundamentals
GCP Services & Architecture
Creating GCP Accounts & Projects
IAM & Security Basics
2
Module 02

Google Cloud Storage

Understand cloud storage management, buckets, objects, and secure data storage techniques.

Cloud Storage Concepts
Buckets & Objects
Data Transfer Methods
3
Module 03

BigQuery

Learn serverless data warehousing, SQL analytics, and large-scale data querying using BigQuery.

Introduction to BigQuery
Creating Datasets & Tables
SQL Queries in BigQuery
Data Import & Export
Partitioning & Clustering
Performance Optimization
4
Module 04

Cloud SQL & Databases

Gain knowledge of managing relational databases and cloud-based database solutions on GCP.

Introduction to Cloud SQL
MySQL & PostgreSQL on GCP
Database Migration
Backup & Recovery
Database Security
5
Module 05

Dataflow

Build scalable batch and real-time data processing pipelines using Apache Beam and Dataflow.

Introduction to Apache Beam
Batch Processing
Stream Processing
Building Data Pipelines
Monitoring Dataflow Jobs

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.

Healthcare Data Migration and Analytics on Google Cloud

Develop a secure healthcare data management solution by migrating patient records to Google Cloud Storage and analyzing data with BigQuery. This project covers cloud security, data warehousing, and healthcare analytics use cases.

E-Commerce Sales Analytics Project on GCP

Create a cloud-based analytics solution for an e-commerce platform using BigQuery, Cloud Storage, and Data Studio. This project focuses on customer behavior analysis, sales reporting, and real-time business insights.

Cloud Data Warehouse Implementation with BigQuery

Design and implement a scalable cloud data warehouse using BigQuery and Cloud Storage. The project focuses on data migration, SQL analytics, query optimization, and business intelligence reporting on Google Cloud Platform.

Skills and Tools You Will Learn

Big Query

Big Query

Hive

Hive

PubSub

PubSub

Cloud Composer

Cloud Composer

Linux

Linux

Dataproc

Dataproc

Dataflow

Dataflow

cloud storage

cloud storage

Apache Spark

Apache Spark

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 Shivani

Shivani

Review from Shivani

Shivani

Review from Shivani

Shivani

Specialized Training Programs

JastTech For Corporates

JastTech Courses

Certification Details

GCP Data Engineer Training in Hyderabad – Associate

  • Exam Name

    GCP Data Engineer Training in Hyderabad – 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.

What is BigQuery in Google Cloud Platform?

BigQuery is a fully managed, serverless data warehouse used for large-scale SQL analytics and fast querying of massive datasets on Google Cloud Platform.

Explain the difference between Dataflow and Dataproc ?

Dataflow is used for stream and batch data processing using Apache Beam, while Dataproc is a managed Hadoop and Spark service for big data processing.

What is Pub/Sub in GCP?

Pub/Sub is a real-time messaging service in Google Cloud used for event-driven architectures and streaming data pipelines.

How do you secure data in Google Cloud Platform?

Data in GCP can be secured using IAM roles, encryption, VPC security, authentication controls, and monitoring services like Cloud Audit Logs.

Support

Frequently Asked FAQs

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

Why should I learn Google Cloud Data Engineering?

Google Cloud Data Engineering is one of the most in-demand cloud skills for managing big data, real-time analytics, and scalable cloud-based data pipelines across industries.

Is online GCP Data Engineer Training available in Hyderabad?

Yes, Jasttech provide online GCP Data Engineer Training in Hyderabad offers live instructor-led sessions, recorded classes, hands-on labs, and flexible schedules for working professionals.

What industries hire GCP Data Engineers?

Industries like healthcare, finance, retail, e-commerce, telecom, banking, and IT services actively hire certified GCP Data Engineers.

Can I switch my career to cloud computing with GCP Training?

Yes, GCP Data Engineer Training helps professionals transition from traditional IT roles into cloud computing and modern data engineering careers.

What is the salary of a GCP Data Engineer in Hyderabad?

A fresher GCP Data Engineer in Hyderabad typically earns between ₹6 lakhs to ₹9 lakhs per annum. Mid-level professionals with 2 to 4 years of experience earn between ₹12 lakhs to ₹22 lakhs per annum. Senior GCP Data Engineers and architects with 5 or more years of experience command packages above ₹35 lakhs per annum.

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