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Azure + GCP Data Engineer Training

Learnomate Technologies offers industry-focused Azure GCP Data Engineer Training Online for aspiring data professionals and cloud engineers. This comprehensive Azure GCP Data Engineer Course covers Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2 (ADLS Gen2), Google BigQuery, Google Cloud Storage, Dataflow, Dataproc, and cloud-based ETL/ELT solutions. Students gain hands-on experience in building scalable data pipelines, processing large-scale datasets, managing cloud data platforms, and implementing real-world data engineering projects across Azure and Google Cloud environments. Our training includes practical labs, certification preparation, interview guidance, and placement assistance to help learners become job-ready Azure GCP Data Engineers. Weekday and weekend batches are available for students, freshers, and working professionals.

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Course Overview

Learnomate Technologies offers Azure GCP Data Engineer Training Online for students and professionals looking to build cloud data engineering skills. The course covers Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Google BigQuery, Dataflow, and PySpark through hands-on projects and practical labs. This Azure GCP Data Engineer Course helps learners gain real-world experience and prepare for successful careers in data engineering.

Click Here to Explore the Azure + GCP Data Engineer Training Roadmap

azure gcp data engineer

Why Choose Azure GCP Data Engineer Training Online in 2026?

The demand for cloud data engineers is increasing rapidly as organizations adopt multi-cloud data platforms for analytics, AI, and business intelligence. Enrolling in Azure GCP Data Engineer Training Online helps you gain practical experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Google BigQuery, Cloud Storage, and Dataflow. These in-demand skills can open career opportunities as an Azure Data Engineer, GCP Data Engineer, Cloud Data Engineer, and Data Platform Engineer.

Who Should Enroll in Azure GCP Data Engineer Training Online?

  • Students and freshers looking to build a career in cloud data engineering.
  • Data analysts and database professionals transitioning to cloud-based data platforms.
  • Software developers interested in data engineering and big data technologies.
  • IT professionals seeking expertise in Azure and Google Cloud data services.
  • Professionals preparing for Azure and Google Cloud data engineering certifications.
  • Working professionals aiming to advance their careers in cloud and data engineering.

What Will You Learn in Azure GCP Data Engineer Training Online?

The Azure GCP Data Engineer Training Online program covers Azure Data Factory, Azure Databricks, Azure Synapse Analytics, ADLS Gen2, Google BigQuery, Cloud Storage, Dataflow, ETL/ELT pipeline development, data warehousing, and real-time data processing. Through hands-on labs and industry projects, learners gain practical experience in designing, building, and managing scalable cloud data solutions across Azure and Google Cloud platforms.

Syllabus

  • Why we need Cloud
  • Overview of Google Cloud Platform (GCP)
  • Key GCP Services and Products
  • How to create Free Tier Account in GCP
  • Navigating the GCP Console
  • Configuring the GCP Console for Efficiency
  • Using the GCP Console for Service Management
  • Introduction to GCP Shell
  • Command-line Interface (CLI) Basics
  • GCP Shell Commands for Service Deployment and Management
  • Writing and Executing GCP SDK Commands
  • Understanding GCP Regions
  • Selecting Regions for Service Deployment
  • Impact of Region on Service Performance
  • Exploring GCP Zones
  • Distributing Resources Across Zones
  • High Availability and Disaster Recovery Considerations
  • Significance of Choosing the Right Location
  • Global vs. Regional Resources
  • Factors Influencing Location Decisions
  • Introduction to Identity and Access Management (IAM)
  • Users, Groups, and Service Accounts
  • Best Practices for Identity Management
  • GCP IAM Roles Overview
  • Defining Custom Roles
  • Role-Based Access Control (RBAC) Implementation
  • Resource-based Policies
  • Understanding and Implementing Organization Policies
  • Auditing and Monitoring Policies
  • GCP Resource Hierarchy Structure
  • Managing Resources in a Hierarchy
  • Organizational Structure Best Practices
  • Overview of Linux
  • Basic Command Line Interface (CLI)
  • GCP service-related commands
  • Python Basics- Strings, Operators, Numbers (Int, Float), Booleans
  • Data Types & Data Structures- Lists, Tuple, Dictionary, Sets
  • if, elif, else statements
  • for loops, while loops
  • Exception Handling
  • File I/O operations
  • Functions, Lambda Functions and Classes
  • Introduction to Cloud Storage
  • Cloud Storage Operations
  • Data Transfer and Lifecycle Management
  • Versioning and Object Versioning
  • Integration with Other GCP Services
  • Overview of Cloud SQL as a fully managed relational database service.
  • Supported database engines and use cases for Cloud SQL.
  • Creating MySQL or PostgreSQL instances.
  • Configuring database settings, users, and access controls
  • Importing and exporting data in Cloud SQL.
  • Configuring automated backups and performing manual backups.
  • Implementing high availability with failover replicas
  • Strategies for restoring data from backups.
  • Vertical and horizontal scaling options in Cloud SQL.
  • Performance optimization tips for database queries.
  • Monitoring and troubleshooting database performance.
  • Connecting Cloud SQL with App Engine, Compute Engine, and Kubernetes Engine.
  • Using Cloud SQL as a backend database for applications
  • Data synchronization with Cloud Storage and BigQuery.
  • Introduction to BigQuery
  • SQL Queries and Performance Optimization
  • Data Integration and Export
  • Configuring access controls and permissions in BigQuery
  • Integration with Other GCP Services
  • Introduction to DataProc
  • Cluster Creation and Configuration
  • Running Jobs on DataProc
  • Integration with Storage and BigQuery
  • Scaling and Automation
  • Introduction to DataFlow
  • Building Data Pipelin es with Apache Beam
  • Monitoring and Optimization
  • Integration with Other GCP Services
  • Introduction to Pub/Sub
  • Creating and Managing Topics and Subscriptions
  • Publishing and Consuming Messages
  • Error Handling and Retry Policies
  • Integration with Other GCP Services
  • Introduction to Composer
  • Creating and Managing Workflows
  • Integration with Data Engineering Services
  • Extending and Customizing Composer
  • Error Handling and Troubleshooting
  • Terraform Basics
  • Infrastructure Provisioning
  • Module and Provider Usage
  • Variables, Outputs, and Functions
  • Terraform Workflow and Best Practices
  • Overview of Azure Data Factory
  • Pipelines, activities, and triggers
  • Data integration and orchestration
  • Linked Services and Datasets
  • Pipelines and Activities
  • Triggers and Scheduling
  • Data Transformation and Mapping Data Flows
  • Mapping Data Flows
  • Overview of Azure Databricks
  • Workspace, Notebooks and Clusters
  • Data Integrastion and Exploration
  • Data Frames and Spark SQL
  • Basic ETL and workflows in Databricks
  • Advanced Databricks Features
  • Resume Building for Azure & GCP Data Engineer Roles
  • Mock Interviews and Technical Interview Preparation
  • Real-Time Data Engineering Projects
  • Azure DP-203 Certification Guidance
  • Google Cloud Professional Data Engineer Certification Preparation
  • Hands-on ETL/ELT Pipeline Development
  • Data Warehouse Design and Implementation
  • Cloud Data Migration Projects
  • Industry-Oriented Use Cases and Case Studies
  • Placement Assistance and Career Mentorship
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage Gen2 (ADLS Gen2)
  • Azure Databricks
  • Azure Synapse Analytics
  • Azure SQL Database
  • Azure Blob Storage
  • Azure Key Vault
  • Microsoft Power BI
  • Google Cloud Storage (GCS)
  • BigQuery
  • Cloud Dataflow
  • Cloud Dataproc
  • Pub/Sub
  • Cloud Composer (Apache Airflow)
  • Cloud Functions
  • BigTable
  • Python
  • PySpark
  • SQL
  • Apache Spark
  • ETL / ELT Concepts
  • Data Warehousing
  • Git & GitHub
  • Apache Airflow
  • Linux Basics

KEY FEATURES

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Ankush Thavali

15+ years of Experience in IT Industry

CEO & Founder of Learnomate Technologies

Azure + GCP Data Engineer Training
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ONLINE / OFFLINE TRAINING

  • Icon Comprehensive Data Engineer Curriculum
  • Icon 100% practical sessions with real-time scenarios
  • Icon Lectures Delivered by our experts having 10+ years exp.
  • Icon 1 Year access for Recorded videos.
  • Icon Real-time projects and certificate guidance
  • Icon Placement assistance and career guidance
  • Icon Get Certificate on course completion

Training certificate

Obtaining Your Certification

Your certificate and skills are vital to the extent of jump-starting your career and giving you a chance to compete in a global space.

Upon successful completion of any course at Learnomate Technologies, participants receive a certificate attesting to their proficiency in the respective subject matter. These certificates serve as tangible evidence of the skills acquired during the training, enhancing the credibility of individuals in the job market and validating their expertise to potential employers.

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Our Placements

We don't give just assurances, we actually placed candidates

Sachin Mandlik (VSquare System, Senior Data Engineer) - Learnomate

Sachin Mandlik

Senior Data Engineer

VSquare System

Sneha Malhotra (Amazon (Russell Tobin), Catalog Specialist) - Learnomate

Sneha Malhotra

Cloud Data Engineer

Cognizant

Kavya Iyer (Teamware Solutions, Data Analyst) - Learnomate

Kavya Iyer

Data Engineer

Persistent Systems

Pankaj Yadav (Innov (Flipkart) , Data Analyst) - Learnomate

Pankaj Yadav

GCP Data Engineer

VSquare System

Ankit Bansal (Flipkart, Operation Exceutive) - Learnomate

Ankit Bansal

ETL Developer

Celebal Technologies

Mohit Saxena (Futurzhr (Flipkart), Data Analyst) - Learnomate

Mohit Saxena

Azure Data Engineer

Infosys

Aditi Gupta (Numerator Client, Analyst) - Learnomate

Aditi Gupta

Data Engineer

Mphasis

Aman Choudhary (Futurzhr (Flipkart), Data Analyst) - Learnomate

Aman Choudhary

DatCloud Data Engineer

Wipro

Raj Malhotra (Teamware Solutions, LSEG Data Analyst) - Learnomate

Raj Malhotra

Analytics Engineer

Fractal Analytics

Karan Patel (Amazon Catalog Specialist, Catalog Specialist) - Learnomate

Karan Patel

Senior Data Engineer

Capgemini

Testimonials

Testimonials
Arya Tandale
1 year student
review

Excellent training has been given by Ankush sir. We learned many things in Learnomate Technologies and very much helpfull to my carrier growth. Thanks a lot.

Testimonials
Anjali Pingle
1 year student
review

The session was really good. Please teach us oracle database installation so that we can practice with you. Also request you to take a live project to understand real life scenarios

Testimonials
Amit Nandi
1 year student
review

Learnomate technology is the best platform to gain and explore knowledge about Oracle DBA. First i saw their video from YouTube and then i enrolled core dba training and after that i also enrolled rac.

Testimonials
Jogu Darani
1 year student
review

I recently completed course at learnomate tecnologies and I am thrilled with the experience. The institute offers a wide range of courses tailored to current industry demands.

Testimonials
Rahul Kamle
1 year student
review

Learnomate Technology is a best training institute, I recommend those who wants to start their career in IT industry for fresher as well as non technical people. Thank you Ankush sir for your support and guidance.

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Frequently Asked Questions

This entire course content and our trainer helps you to get expertise and clear the certification program easily

FAQ Illustration
  • You can join the live instructor-led Azure + GCP Data Engineer Training sessions online from anywhere. After enrollment, you will receive access to live classes, study materials, recordings, and hands-on lab exercises.
  • Yes. This course is designed for both beginners and experienced professionals. The training starts with cloud and data engineering fundamentals before moving to advanced Azure and Google Cloud services.
  • Yes. The Azure + GCP Data Engineer Training includes hands-on labs, ETL/ELT pipeline development, cloud data migration, data lake implementation, and real-world industry projects.
  • Yes. The course helps learners prepare for Microsoft Azure Data Engineer (DP-203) and Google Cloud Data Engineer certification exams through practical exercises, mock interviews, and certification guidance.
  • Yes, Learnomate Technologies provides internship opportunities based on program availability and learner performance. During the internship, students gain hands-on experience working on real-world Azure and Google Cloud data engineering projects, including data pipelines, ETL/ELT processes, cloud storage, data warehousing, and analytics solutions.
  • Yes. Flexible weekday and weekend batches are available, making it convenient for working professionals to upgrade their cloud data engineering skills.
  • Learnomate Technologies offers expert trainers, live instructor-led sessions, real-time projects, certification-focused training, hands-on labs, and placement support to ensure practical learning and career growth.
  • After completing the training, you can apply for roles such as Azure Data Engineer, GCP Data Engineer, Cloud Data Engineer, Data Platform Engineer, Big Data Engineer, ETL Developer, and Data Integration Specialist.

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