What is Azure Databricks used for?

Azure Databricks provides a collaborative environment for distributed data processing and analytics using Apache Spark. Data engineers use it to build transformation workflows and process large datasets.

Azure Data Lake Storage Gen2 is Azure's scalable data storage service with hierarchical namespace capabilities. It supports storing and organizing large volumes of data for analytics and data engineering workloads.

Can working professionals learn Azure Data Engineering?

Yes. Working professionals in software development, SQL, databases, analytics, and cloud technologies can build Azure data engineering skills through structured learning and practical exercises.

What career opportunities are available after Azure Data Engineering training?

Relevant roles include Azure Data Engineer, Data Engineer, Azure ETL Developer, Cloud Data Engineer, Data Pipeline Engineer, and Data Integration Engineer. Actual eligibility depends on experience, skills, and employer requirements.

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Azure Data Engineer Course

Data Engineering

Azure Data Engineer Course

Q: What is an Azure Data Engineer Course?

An Azure Data Engineer Course teaches learners how to build, manage, and maintain data pipelines and data platforms using Microsoft Azure services such as Azure Data Factory, ADLS Gen2, Azure Databricks, and Azure Synapse Analytics.

Q: Who can enroll in an Azure Data Engineer Course?

Beginners, fresh graduates, software developers, data analysts, database professionals, and working professionals interested in cloud data engineering can enroll. Basic programming or SQL knowledge is helpful.

Q: What is covered in Azure Data Engineer Training?

Azure Data Engineer Training typically covers Azure Data Factory, Azure Data Lake Storage Gen2, Azure Databricks, PySpark, Azure Synapse Analytics, SQL, ETL and ELT pipelines, data transformation, and practical projects.

Q: Is this course suitable for beginners?

Yes. A structured learning path can begin with SQL, cloud fundamentals, and data engineering concepts before progressing to Azure services, Spark, and advanced data pipelines.

Q: Does the course include practical projects?

The curriculum is designed around practical Azure data engineering projects involving data ingestion, transformation, storage, orchestration, and analytics. Refer to the actual course delivery plan for the projects and hands-on sessions included.

Q: What is Azure Data Factory used for?

Azure Data Factory is a cloud-based data integration service used to move and transform data and orchestrate data workflows across different sources and destinations.

Join the Azure Data Engineer Course to learn Azure Data Factory, Databricks, ADLS Gen2, PySpark, and cloud data pipelines.This Azure Data Engineer Training offers hands-on projects, certification-focused learning, and placement assistance for beginners and working professionals.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

About

Training Plan

Course Curriculum

New Batch

Projects

Certificate

Testimonials

FAQ

Interview FAQ

Placement Client

About Azure Data Engineer Course

TechPratham’s Azure Data Engineer Course is designed for learners who want to develop practical skills in Microsoft Azure data engineering. This Microsoft Azure Data Engineer Course covers Azure Data Factory, Azure Databricks, ADLS Gen2, PySpark, Azure Synapse Analytics, Azure SQL, and cloud data pipelines.

The Azure Data Engineer Training focuses on data ingestion, ETL and ELT workflows, data transformation, data warehousing, and pipeline orchestration. Through hands-on exercises and projects, learners gain experience building and managing scalable Azure data solutions.

This Azure Data Engineer Online Course is suitable for beginners, freshers, and working professionals. The Azure Data Engineer Course for Beginners introduces essential concepts before progressing to advanced tools and practical projects.

The program also provides certification-focused learning to support preparation for relevant Azure Data Engineer Certification pathways. Learners can explore the Azure Data Engineer Course with Placement for career guidance and placement assistance, subject to the support included in the program.

Training Plan

About trainer

Working professional who is carrying more than 10 years of industry experience.

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

e-Book

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

Video Recording

Daily Session would be recorded and shared to the candidate.

Projects

Live projects will be provided for hands-on practice.

Resume Building

Expert-guided resume building with industry-focused content support.

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Azure Data Engineer Course Curriculum

Module 1: Azure Data Engineering Fundamentals

Understand cloud data engineering concepts, Azure data services, and the architecture of modern data solutions.

Introduction to Azure Data Engineering

Role of an Azure Data Engineer

Cloud Data Engineering Fundamentals

Azure Data Platform Overview

Data Engineering Lifecycle

Data Sources and Data Formats

Azure Data Architecture

Data Processing Workflows

Module 2: SQL and Azure SQL

Develop SQL and database skills for querying, transforming, and managing data in Azure-based environments.

SQL Fundamentals

Filtering and Sorting

Joins and Subqueries

Common Table Expressions

Window Functions

Aggregations

Azure SQL Database Fundamentals

Data Loading and Extraction

Query Optimization

Database Performance Basics

Module 3: Azure Data Factory

Learn to build and orchestrate data integration pipelines using Azure Data Factory and its core components.

Azure Data Factory Architecture

Pipelines and Activities

Linked Services

Datasets

Integration Runtime

Copy Data Activity

Mapping Data Flows

Pipeline Parameters

Triggers and Scheduling

Monitoring Pipeline Runs

Error Handling and Retries

Module 4: Azure Data Lake Storage Gen2

Understand scalable cloud storage and learn how to organize, secure, and manage data in ADLS Gen2.

ADLS Gen2 Architecture

Storage Accounts

Containers and File Systems

Hierarchical Namespace

Data Lake Organization

Access Control and Permissions

Role-Based Access Control

Data Storage Formats

Parquet and JSON

Data Lake Security

Data Lifecycle Management

Module 5: Azure Databricks Fundamentals

Learn how Azure Databricks supports scalable data engineering through Spark-based processing and collaborative data workflows.

Azure Databricks Architecture

Workspaces and Clusters

Notebooks

Apache Spark Fundamentals

Spark DataFrames

Spark SQL

Data Ingestion

Data Transformations

Distributed Processing

Databricks Workflows

Job Scheduling

Module 6: PySpark for Azure Data Engineering

Develop PySpark skills for transforming and processing large datasets in Azure Databricks.

PySpark Fundamentals

Spark DataFrames

DataFrame Operations

Transformations and Actions

Joins and Aggregations

Window Functions

Data Cleaning

Partitioning and Caching

Spark Performance Optimization

PySpark ETL Workflows

Module 7: ETL and ELT Pipeline Development

Build data ingestion and transformation workflows that move data from source systems into Azure storage and analytical platforms.

ETL and ELT Concepts

Batch Data Processing

Data Extraction Methods

Incremental Data Loads

Full and Incremental Refresh

Data Transformation

Schema Mapping

Data Validation

Module 8: Azure Synapse Analytics and Data Warehousing

Understand analytical data platforms and develop the skills to prepare structured data for reporting and analytics.

Azure Synapse Analytics Overview

Synapse Workspace

Data Warehousing Concepts

Dedicated and Serverless SQL Pools

Data Warehouse Architecture

Fact and Dimension Tables

Star and Snowflake Schemas

Data Loading

SQL-Based Analytics

Query Performance

Data Warehouse Optimization

Module 9: Delta Lake and Lakehouse Fundamentals

Explore Delta Lake and lakehouse concepts used to manage reliable data storage and processing in Azure Databricks.

Data Lakehouse Architecture

Delta Lake Fundamentals

Delta Tables

ACID Transactions

Schema Enforcement

Schema Evolution

Time Travel

MERGE Operations

Incremental Data Processing

Data Versioning

Lakehouse Design Principles

Module 10: Azure Data Pipeline Orchestration

Learn to coordinate, schedule, monitor, and troubleshoot end-to-end data workflows across Azure services.

Pipeline Orchestration Concepts

Azure Data Factory Orchestration

Databricks Job Workflows

Pipeline Dependencies

Scheduling and Triggers

Parameterized Pipelines

Monitoring and Logging

Retry Strategies

Failure Recovery

Data Quality Checks

Pipeline Troubleshooting

Module 11: Real-Time Azure Data Engineering

Understand streaming data architecture and the Azure services used to ingest and process event-driven data.

Batch vs Streaming

Real-Time Data Architecture

Azure Event Hubs

Event Ingestion

Stream Processing Fundamentals

Azure Stream Analytics

Databricks Structured Streaming

Streaming Data Transformations

Checkpointing

Monitoring Streaming Workflows

Real-Time Data Pipeline Design

Module 12: Projects and Career Preparation

Apply Azure data engineering concepts through practical projects and prepare for technical interviews and career opportunities.

End-to-End Azure Data Pipeline

Azure Data Factory Project

ADLS Gen2 Data Lake Project

Databricks ETL Project

Azure Data Warehouse Project

Real-Time Data Pipeline Project

Data Quality and Validation

Pipeline Monitoring

Project Documentation

Azure Data Engineer Interview Preparation

Resume and Portfolio Preparation

Data Engineering Courses

No related courses found

Additional Program Highlights

Comprehensive study materials and resources

Professional resume building session

Master your interview skills

Real-world project demonstrations

Upcoming Batches

✓ Selected

Weekdays

📅 28 Sept 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Weekdays

📅 01 Oct 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Weekends

📅 03 Oct 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Weekends

📅 04 Oct 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

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Who Should Take This Azure Data Engineer Course?

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Working Professionals

Ops/Administrators/HR

Developers

BA/QA Engineers

Cloud / Infra

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Career Opportunities After Learning Azure Data Engineering

Azure Data Engineer

Junior Azure Data Engineer

Data Engineer

Azure ETL Developer

Cloud Data Engineer

Data Pipeline Engineer

Data Integration Engineer

Azure Databricks Developer

Azure Data Engineer

Junior Azure Data Engineer

Data Engineer

Key Projects

Practical Azure Data Engineering Projects

KPMG – Azure Audit Pipeline

Scenario: Build an Azure pipeline to consolidate audit datasets from multiple sources for structured analysis.

Live Work:

Ingest audit datasets with Data Factory
Transform and validate data
Load processed data into storage

Outcome: Automated audit data pipeline

Deloitte – Azure Data Warehouse

Scenario: Design an Azure warehouse workflow to integrate business datasets and support analytical reporting.

Live Work:

Design fact and dimension tables
Build Azure ETL workflows
Prepare analytics-ready datasets

Outcome: Centralized analytics warehouse

Accenture – Azure Databricks ETL

Scenario: Develop a Databricks workflow to process business datasets using PySpark and store transformed data.

Live Work:

Ingest data into ADLS Gen2
Transform datasets with PySpark
Store curated Delta tables

Outcome: Scalable Azure ETL workflow

Infosys – Azure Streaming Pipeline

Scenario: Create an Azure streaming workflow to ingest events and process structured data for near-real-time analytics.

Live Work:

Ingest events with Event Hubs
Process streams with Azure tools
Monitor streaming workflow

Outcome: Real-time Azure data pipeline

Placement Process

Live Class with Industry Use Cases

Interactive learning
Real-world examples
Expert guidance
Doubt resolution

Daily Assignment & Weekly Assessments

Hands-on practice
Concept reinforcement
Weekly evaluation
Timely feedback

Project Testing & Deployment

Project development
Testing practice
Deployment exposure
Portfolio creation

Interview Preparation (Mock, PD, Alumni Session)

Mock interviews
Personal development
Alumni guidance
Confidence building

Resume Building

Resume crafting
Industry-focused format
Skills highlighting
Professional presentation

Placement

Job assistance
Interview support
Career guidance
Opportunity access

Latest Hiring

No hiring posts

Recently Placed Candidates

No placements available

Latest Hiring

No hiring posts

Our Success Mantra

Commitment

Ensuring quality training every day

Fulfillment

Meeting learning goals with confidence

Accomplishment

Students achieving industry-ready expertise

Our Learner Voice

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What Makes TechPratham Training Different?

Feature

TechPratham Advantage

Industry Standard Institutes

Real-World Implementation

Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.

Restricted or simulation-based access that lacks real-world complexity.

Subject Matter Experts

Mentorship from certified professionals with 15+ years of global industry experience.

Generic instructors with no hands-on implementation background.

2026 Ready Curriculum

AI-driven curriculum with advanced platform integrations and real-world configurations.

Basic, outdated syllabus that misses key technical integrations.

Daily & Weekly assignments

Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.

Self-paced learning with no accountability or progress tracking.

End-to-End Lifecycle

Hands-on project testing and deployment with portfolio-ready real-world exposure.

Basic lab exercises without any deployment or testing practice.

Interview Readiness

Structured interview preparation including mock interviews, PD sessions, and alumni guidance.

Minimal support limited to a generic certificate of completion.

Placement Support

Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.

Basic career tips with no direct industry connections.

Training Support

24/7 technical doubt resolution and personalized mentoring support.

Limited mentor availability and no support after class hours.

Affordable Fees

Competitive fixed pricing with flexible payment options and transparent fee structure.

Inflated fees with hidden costs and low return on investment.

Real-World Implementation

Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.

Restricted or simulation-based access that lacks real-world complexity.

Subject Matter Experts

Mentorship from certified professionals with 15+ years of global industry experience.

Generic instructors with no hands-on implementation background.

2026 Ready Curriculum

AI-driven curriculum with advanced platform integrations and real-world configurations.

Basic, outdated syllabus that misses key technical integrations.

Daily & Weekly assignments

Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.

Self-paced learning with no accountability or progress tracking.

End-to-End Lifecycle

Hands-on project testing and deployment with portfolio-ready real-world exposure.

Basic lab exercises without any deployment or testing practice.

Interview Readiness

Structured interview preparation including mock interviews, PD sessions, and alumni guidance.

Minimal support limited to a generic certificate of completion.

Placement Support

Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.

Basic career tips with no direct industry connections.

Training Support

24/7 technical doubt resolution and personalized mentoring support.

Limited mentor availability and no support after class hours.

Affordable Fees

Competitive fixed pricing with flexible payment options and transparent fee structure.

Inflated fees with hidden costs and low return on investment.

What is an Azure Data Engineer Course?

Who can enroll in an Azure Data Engineer Course?

What is covered in Azure Data Engineer Training?

Is this course suitable for beginners?

Does the course include practical projects?

What is Azure Data Factory used for?

Industry-Recognized Certification

Azure Data Engineering Certificate

News Highlights

TechPratham Introduces Hire-Train-Deploy Model to Transform HR & ERP Talent in the AI Era

TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

Featured In

TechPratham Gains Recognition for Bridging the HR & ERP Skills Gap with Hire-Train-Deploy

TechPratham's Hire-Train-Deploy Approach Reshaping HR & ERP Careers in the AI-Driven Industry

About Us

TechPratham is an ISO 9001:2015 certified IT Training and Development, delivering industry-focused certification courses with expert guidance and placement support.

CIN:U62013UP2025PTC223378GST:09AALCT8794N1Z2

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+91-8882178896

+1 (343) 477-0926

info@techpratham.com

All Courses

Start typing to search courses...

Azure Data Engineer Course

Enquire This Course

Placement Client

About Azure Data Engineer Course

Training Plan

About trainer

Decks & Updated Content

e-Book

Assignments & MCQs

Video Recording

Projects

Resume Building

Interview Preparation

Azure Data Engineer Course Curriculum

Module 1: Azure Data Engineering Fundamentals

Module 2: SQL and Azure SQL

Module 3: Azure Data Factory

Module 4: Azure Data Lake Storage Gen2

Module 5: Azure Databricks Fundamentals

Module 6: PySpark for Azure Data Engineering

Module 7: ETL and ELT Pipeline Development

Module 8: Azure Synapse Analytics and Data Warehousing

Module 9: Delta Lake and Lakehouse Fundamentals

Module 10: Azure Data Pipeline Orchestration

Module 11: Real-Time Azure Data Engineering

Module 12: Projects and Career Preparation

Data Engineering Courses

Additional Program Highlights

Upcoming Batches

Who Should Take This Azure Data Engineer Course?

Career Opportunities After Learning Azure Data Engineering

Key Projects

Practical Azure Data Engineering Projects

KPMG – Azure Audit Pipeline

Live Work:

Deloitte – Azure Data Warehouse

Live Work:

Accenture – Azure Databricks ETL

Live Work:

Infosys – Azure Streaming Pipeline

Live Work:

Placement Process

Live Class with Industry Use Cases

Daily Assignment & Weekly Assessments

Project Testing & Deployment

Interview Preparation (Mock, PD, Alumni Session)

Resume Building

Placement

Latest Hiring

Recently Placed Candidates

Latest Hiring

Our Success Mantra

Commitment

Fulfillment

Accomplishment

Our Learner Voice

Beyond Courses:

What Makes TechPratham Training Different?

What is an Azure Data Engineer Course?

Who can enroll in an Azure Data Engineer Course?

What is covered in Azure Data Engineer Training?

Is this course suitable for beginners?

Does the course include practical projects?

What is Azure Data Factory used for?

What is Azure Data Factory?

What is the difference between a pipeline and an activity in Azure Data Factory?

What is Integration Runtime in Azure Data Factory?

What is the difference between Azure Data Factory and Azure Databricks?

What is Azure Data Lake Storage Gen2?

What is the difference between Azure Synapse Analytics and Azure Databricks?

Azure Data Engineering Professional Certificate

Industry-Recognized Certification

News Highlights

Featured In

About Us

Courses

Company

Contact Us