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Azure Data Engineer

Learnomate Technologies offers industry-oriented Azure Data Engineer Online Training in Pune and across India through live instructor-led sessions. This comprehensive Data Engineer Course with Placement covers essential Azure data engineering services, including Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage Gen2 (ADLS Gen2), Azure SQL Database, and data integration solutions. Students gain hands-on experience in building scalable data pipelines, implementing ETL/ELT processes, managing data lakes, and working with real-world cloud data projects. Our Azure Synapse Analytics Course includes practical labs, DP-203 certification preparation, interview guidance, and placement assistance to help learners become job-ready Azure Data Engineers. Weekday and weekend batches are available for students, freshers, and working professionals.

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COURSE OVERVIEW

Learnomate Technologies’ Azure Data Engineer Online Training is a live instructor-led course covering Azure Data Factory, ADLS Gen2, Azure Databricks, PySpark, and Azure Synapse Analytics through hands-on labs and real-world projects.

Students learn to build ETL/ELT pipelines and cloud-based data solutions while preparing for the Microsoft DP-203: Azure Data Engineer Associate Certification.

Click Here to Explore the Azure Data Engineer Training Roadmap

Azure Data Engineer online Training

Why Choose Azure Data Engineer Online Training in 2026?

The demand for Azure Data Engineers continues to grow as organizations adopt cloud-based data platforms, analytics, and AI solutions. Enrolling in Azure Data Engineer Online Training helps you gain hands-on experience with Azure Data Factory, ADLS Gen2, Azure Databricks, and Azure Synapse Analytics while preparing for the DP-203 certification. These skills can open opportunities for Azure Data Engineer, Data Platform Engineer, and Cloud Data Engineer roles.

Who Should Enroll in Azure Data Engineer Online Training?

  • Students and freshers interested in data engineering and cloud technologies.
  • Data analysts and database professionals looking to transition into Azure Data Engineering.
  • IT professionals seeking expertise in Azure Data Factory and Azure Synapse Analytics.
  • Developers interested in building scalable data pipelines and ETL/ELT solutions.
  • Professionals preparing for the DP-203 Azure Data Engineer Associate Certification.
  • Working professionals looking to advance their careers in cloud data engineering.

What Are the Prerequisites for Azure Data Engineer Online Training?

There are no strict prerequisites for joining Azure Data Engineer Online Training. Basic knowledge of databases, SQL, cloud concepts, or programming can be helpful but is not mandatory. The course starts with foundational concepts and gradually covers Azure Data Factory, ADLS Gen2, Azure Databricks, PySpark, and Azure Synapse Analytics, making it suitable for both beginners and experienced professionals.

Syllabus

  • Introduction to SQL
  • SQL Commands
  • SQL Clauses
  • SQL Operators
  • SQL Join
  • SQL Store Procedures
  • SQL Null Functions
  • SQL Database
  • Introduction and installation of Ubuntu
  • Basic Linux commands
  • Python Basics
  • Data Types & Data Structures
  • Python Programming Constructs
  • Modular Programming in Python
  • Introduction to big data
  • Hadoop: evolution, overview and core components
  • Comparison between on-premise and cloud
  • Introduction to database
  • Introduction to data warehouse
  • Data pipeline on hadoop
  • Data pipeline workflow visualization for on-premise
  • Hdfs architecture
  • Role of data engineers
  • Traditional ways of processing data and its challenges
  • Introduction to PySpark
  • PySpark Environment Setup
  • Core Concepts of Spark
  • Data Processing using PySpark
  • Spark SQL
  • PySpark Functions
  • What is cloud?
  • Categories of cloud services
  • Introduction to cloud deployment models
  • Steps to create an azure account
  • Various methods for generating resources in azure
  • Introduction to azure global infrastructure
  • virtual machines in azure
  • Availability set vs availability zone
  • Azure storage service fundamentals
  • Introduction to azure datalake storage gen 2
  • Blob storage account creation
  • Blob access tiers
  • Different redundancy options
  • Introduction of ADLS gen2
  • ADLS gen2 storage account creation hands on
  • Difference between blob storage & ADLS gen2 storage
  • life cycle management of storage account
  • Azure storage - pricing
  • Azure Data Platform Overview
  • Data Engineer Role & Responsibilities
  • Data Architecture Patterns
  • Azure Storage Solutions (Blob, ADLS Gen2)
  • Hands-on: Setting up Azure Environment
  • ADF Architecture & Components
  • Pipelines, Activities & Triggers
  • Data Flow Transformations
  • Integration Runtime Types
  • Monitoring & Debugging
  • Hands-on: Building ETL Pipeline with ADF
  • Synapse Architecture & Components
  • Dedicated SQL Pools vs Serverless SQL
  • PolyBase & COPY Command
  • Data Distribution Strategies
  • Spark Pools in Synapse
  • Hands-on: Data Warehousing with Synapse
  • Synapse Link for Real-time Analytics
  • Synapse Pipelines & Triggers
  • Integrating with Power BI
  • Security & Access Control
  • Databricks Architecture & Workspace
  • Cluster Management
  • Notebook Development
  • Spark Fundamentals in Databricks
  • Hands-on: First Databricks ETL Job
  • ACID Transactions in Delta
  • Time Travel & Versioning
  • Schema Evolution & Constraints
  • Optimizations (Z-Ordering, Compaction)
  • Hands-on: Building a Delta Lake Solution
  • Databricks SQL & Dashboards
  • Unity Catalog & Governance
  • MLflow for ML Lifecycle
  • Photon Engine & Query Optimization
  • Structured Streaming
  • Hands-on: Real-time Streaming Pipeline
  • ADF-Databricks Integration
  • Synapse-Databricks Integration
  • Event-driven Architectures
  • CI/CD for Data Solutions
  • Monitoring & Observability
  • Project 1- Azure Data factory
  • Project -2- Azure Databricks
  • Resume Building
  • LinkedIn Profile Optimization
  • GitHub Project Portfolio
  • Azure Data Engineer Interview Questions
  • SQL & PySpark Interview Preparation
  • Azure Synapse & Databricks Interview Questions
  • Mock Interviews
  • Azure Data Factory (ADF)
  • Azure Databricks
  • PySpark
  • Azure Synapse Analytics
  • Azure Data Lake Storage Gen2 (ADLS)
  • Azure SQL Database
  • SQL Server
  • Power BI
  • Python
  • Git & GitHub
  • Azure Portal
  • Microsoft Fabric (Introduction)

UPCOMING BATCHES

Student with laptop

Ankush Thavali

15+ years of Experience in IT Industry

CEO & Founder of Learnomate Technologies

Azure Data Engineer
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ONLINE 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
  • Icon Even if you have a career gap, we offer job assistance.

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.

Get your Certification
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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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FAQ

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

FAQ Illustration
  • Our Azure Data Engineer Training is conducted through live online instructor-led sessions. Students receive joining details, study materials, and lab access before the batch starts.
  • Yes. Beginners with basic knowledge of databases, SQL, or cloud concepts can start learning Azure Data Engineering. The course covers fundamentals before moving to advanced topics.
  • Yes. Students work on real-time projects involving Azure Data Factory, Azure Databricks, Azure Data Lake, Synapse Analytics, and ETL pipeline development.
  • Yes. The training aligns with Microsoft Azure certification paths and helps learners understand concepts required for Azure Data Engineer Associate certification exams.
  • The course covers Azure Data Factory, Azure Databricks, PySpark, Azure Data Lake Storage, Azure Synapse Analytics, SQL, Power BI, and Azure DevOps.
  • Absolutely. We offer flexible weekday and weekend batches, making it convenient for working professionals to upgrade their Azure Data Engineering skills.
  • Learnomate provides expert-led training, hands-on labs, real-world projects, certification guidance, interview preparation, and placement assistance to help learners become job-ready.
  • After completing the course, learners can pursue roles such as Azure Data Engineer, Cloud Data Engineer, ETL Developer, Data Analyst, Big Data Engineer, and Data Platform Engineer.

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