Master Azure Data Engineeringlive training · 5–6 Months · any time zone
Build and orchestrate data pipelines using Azure Data Factory, Databricks & Synapse — hands-on live sessions with a working developer. Build real projects and get placement support until you land the job.
Azure Data Engineering Course Overview
Build and orchestrate data pipelines using Azure Data Factory, Databricks & Synapse. That is exactly what the Azure Data Engineering course prepares you for. Every company running on Azure needs engineers who can move, transform and govern data reliably — and that skill sits at the centre of every analytics and AI initiative. It blends Python, SQL, Azure Data Factory, Azure Data Lake (ADLS Gen2) with practical, hands-on work from day one. You move at your own pace from fundamentals to real azure data engineering skills, prepare for globally recognised certifications, and finish with the confidence to step into Azure Data Engineer or Data Engineer roles from anywhere. Build and orchestrate data pipelines using Azure Data Factory, Databricks & Synapse.
Why Learn Azure Data Engineering?
- Pipeline and data-lake skills transfer cleanly across analytics, BI and machine-learning teams.
- Azure is one of the top cloud platforms enterprises standardise their data estate on.
- Data engineering roles are consistently ranked among the highest-paid in tech.
Prerequisites: Basic SQL and a beginner's understanding of the cloud helps, but we build up from Azure fundamentals — no prior data engineering experience required.
Who This Course Is For
- Aspiring data engineers and cloud data professionals
- SQL developers and DBAs moving into cloud data pipelines
- Data analysts who want to own the pipelines that feed their dashboards
- Working professionals upskilling into new roles
- Career switchers from non-IT or non-technical backgrounds
Detailed Syllabus — 13 Modules
Hands-on, project-based curriculum covering everything you need.
01Introduction to Data Engineering
- What is Data Engineering
- Roles & Responsibilities
- Data Lifecycle
- Batch vs Streaming
02Python for Data Engineering
- Python Basics
- Data Types & Structures
- File Handling
- Exception Handling
- Working with APIs
- Data Processing with Python
03SQL Fundamentals
- Database Concepts
- DDL, DML, DQL
- Joins & Subqueries
- Window Functions
- Query Optimization Basics
04ETL Concepts
- What is ETL / ELT
- Data Extraction Techniques
- Data Transformation
- Data Loading Strategies
- Data Pipeline Basics
05Azure Fundamentals
- Introduction to Microsoft Azure
- Azure Portal Overview
- Resource Groups
- Storage Accounts
- IAM & Security Basics
06Azure Data Lake
- Introduction to Data Lake
- Azure Data Lake Gen2
- File Systems & Storage
- Data Organization
- Access Control
07Azure Data Factory (ADF)
- Introduction to ADF
- Pipelines & Activities
- Linked Services
- Data Integration
- Scheduling & Monitoring
- ETL Pipeline Implementation
08Azure Synapse Analytics
- Introduction to Synapse
- SQL Pools (Dedicated & Serverless)
- Data Warehousing Concepts
- Querying Data
- Integration with ADF
09Apache Spark
- Introduction to Spark
- Spark Architecture
- DataFrames
- Transformations & Actions
- PySpark
10Data Warehousing
- OLTP vs OLAP
- Star & Snowflake Schema
- Fact & Dimension Tables
- Data Modeling
11Data Pipeline & Integration
- End-to-End Data Pipeline
- Data Ingestion
- Data Transformation
- Data Loading to Warehouse
12Monitoring & Optimization
- Pipeline Monitoring
- Error Handling
- Performance Optimization
- Cost Optimization
13Azure Data Engineering Capstone Project
- Build Data Pipeline using ADF
- Store Data in Data Lake
- Process using Spark
- Analyze in Synapse
Tools & Skills You'll Master
What You'll Be Able To Do
By the end of the Azure Data Engineering course, you will be able to:
- Process large-scale data with Azure Databricks and PySpark
- Design and query a data warehouse in Azure Synapse Analytics
- Structure a data lake on Azure Data Lake Storage Gen2
Global Certifications You Can Earn
We prepare you for globally recognised Azure Data Engineering certifications.
Career Outcomes
Roles you can apply for after completing this course:
Why Learn with Getin Technologies
- Recorded sessions & lifetime access to materials
- Doubt-clearing sessions and 1:1 mentorship
- Resume building & mock-interview preparation
- Live online classes — learn from anywhere, any time zone
Frequently Asked Questions
How is this different from a general cloud/DevOps course?
This course focuses specifically on moving, transforming and warehousing data on Azure — Data Factory, Databricks, Synapse and data lakes — rather than general infrastructure and CI/CD.
Do I need to know Python or Spark already?
No — PySpark is taught from the basics as part of the Azure Databricks module.
Is placement support included with the Azure Data Engineering course?
Yes — you get resume building, mock interviews and referrals to 200+ hiring partners, plus remote-job guidance after the Azure Data Engineering course.
Can I take the Azure Data Engineering course online from another country?
Yes. All Azure Data Engineering batches are 100% live and interactive online, so you can learn from anywhere in any time zone — India, UAE, USA, UK, Australia and more.
India
Australia
Saudi Arabia
UAE
New Zealand
QatarWhy students worldwide choose Getin Technologies
Join the Azure Data Engineering course from anywhere — 100% live online, with global certification and placement support.
Start the Azure Data Engineering Course Today
Live online · global certifications · placement support — learn from anywhere.