Master Data Engineeringlive training · 5–6 Months · any time zone
Data pipelines & architectures — hands-on live sessions with a working developer. Build real projects and get placement support until you land the job.
Data Engineering Course Overview
From your first lesson to your first Azure Data Engineer interview, the Data Engineering course is designed to get you hired. 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. You will work hands-on with Python, SQL, Azure Data Factory, Azure Data Lake (ADLS Gen2) on projects that prove your skills. Every module is portfolio-focused, and you graduate with certification readiness and dedicated career guidance for roles such as Azure Data Engineer and Data Engineer. Data pipelines & architectures.
Why Learn Data Engineering?
- Every AI and analytics initiative depends on solid data engineering underneath it.
- Microsoft's DP-203 certification is widely recognised by employers hiring for Azure data roles.
- Pipeline and data-lake skills transfer cleanly across analytics, BI and machine-learning teams.
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
- Students preparing for global, remote-friendly tech jobs
- Freelancers expanding their service offering
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
13Data 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 Data Engineering course, you will be able to:
- Design and query a data warehouse in Azure Synapse Analytics
- Structure a data lake on Azure Data Lake Storage Gen2
- Apply security, governance and cost-control practices on Azure
Global Certifications You Can Earn
We prepare you for globally recognised Data Engineering certifications.
Career Outcomes
Roles you can apply for after completing this course:
Why Learn with Getin Technologies
- Doubt-clearing sessions and 1:1 mentorship
- Resume building & mock-interview preparation
- Live online classes — learn from anywhere, any time zone
- 100% placement & career support with 200+ hiring partners
Frequently Asked Questions
Is SQL required for this course?
Basic SQL helps but isn't mandatory — we cover the SQL you need for Synapse and data warehousing during the course.
What roles can I apply for after this course?
Azure Data Engineer, Data Engineer, ETL Developer and BI Engineer roles, among others.
Is placement support included with the Data Engineering course?
Yes — you get resume building, mock interviews and referrals to 200+ hiring partners, plus remote-job guidance after the Data Engineering course.
Can I take the Data Engineering course online from another country?
Yes. All 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.
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