Master Azure Data Engineering with hands-on training in Azure Data Factory, Databricks, Synapse, ETL pipelines, and real-time cloud analytics.
Master Azure Data Engineering with hands-on training in Azure Data Factory, Databricks, Synapse, ETL pipelines, and real-time cloud analytics.
Level
Advanced
Duration
8 weeks
















Azure Data Engineer Training is a comprehensive program designed for aspiring cloud and data professionals who want to build scalable, enterprise-grade data solutions on Microsoft Azure. This course covers the complete Azure data ecosystem including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, Stream Analytics, ETL/ELT pipelines, PySpark, SQL, and real-time data processing. Learners will gain practical exposure to designing data pipelines, transforming large datasets, implementing cloud-based analytics architectures, and managing modern data warehouses. Through industry-focused projects and real-world use cases, students will understand how organizations build secure, high-performance data engineering workflows on Azure. Jast Tech provides hands-on learning, live project implementation, interview preparation, and job-oriented training aligned with the latest DP-203 Azure Data Engineer certification path. This course is suitable for freshers, software professionals, data analysts, and cloud engineers who want to transition into high-demand Azure Data Engineering roles with practical expertise in modern big data and cloud technologies.
Azure Data Engineer Training is a comprehensive program designed for aspiring cloud and data professionals who want to build scalable, enterprise-grade data solutions on Microsoft Azure. This course covers the complete Azure data ecosystem including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, Stream Analytics, ETL/ELT pipelines, PySpark, SQL, and real-time data processing. Learners will gain practical exposure to designing data pipelines, transforming large datasets, implementing cloud-based analytics architectures, and managing modern data warehouses. Through industry-focused projects and real-world use cases, students will understand how organizations build secure, high-performance data engineering workflows on Azure. Jast Tech provides hands-on learning, live project implementation, interview preparation, and job-oriented training aligned with the latest DP-203 Azure Data Engineer certification path. This course is suitable for freshers, software professionals, data analysts, and cloud engineers who want to transition into high-demand Azure Data Engineering roles with practical expertise in modern big data and cloud technologies.
Job Roles You Can Achieve
After completing this course
Introduction to Azure & Cloud Data Engineering
This module introduces students to Microsoft Azure cloud concepts and the role of a Data Engineer. Learners will understand Azure services, resource groups, subscriptions, and cloud-based data architectures used in modern enterprises.
Azure Storage Services
Students learn how to manage structured and unstructured data using Azure storage solutions. The module focuses on scalable cloud storage, access management, and secure enterprise data handling.
Azure SQL & Data Warehousing
This module covers relational databases and modern cloud data warehousing concepts using Azure SQL and Synapse Analytics. Learners will build scalable analytical storage systems for enterprise reporting.
Azure Data Factory (ADF)
Students will learn to design and automate ETL/ELT pipelines using Azure Data Factory. The module focuses on orchestrating large-scale cloud data workflows and enterprise integrations.
Azure Databricks & PySpark
This module introduces distributed data processing using Azure Databricks and PySpark. Learners perform large-scale data transformations and build modern lakehouse architectures.
Seven intentional milestones — from first session to dream job.
Hands-on experience with real-world scenarios designed for mastery.
Azure Retail Sales Analytics Pipeline
Real-Time IoT Data Processing with Azure Stream Analytics
Enterprise Data Lakehouse Solution using Azure Databricks

snowflake

Azure Synapse Analytics

Azure Data Lake storage

Azure Data Factory

Azure Data Bricks
Select a schedule that works best for you
Starts
23 May 2026
Time
09:30 AM – 12:30 PM
Duration
8 weeks
Starts
25 May 2026
Time
07:00 AM – 09:00 AM
Duration
8 weeks
Starts
30 May 2026
Time
02:00 PM – 05:00 PM
Duration
8 weeks
Starts
01 Jun 2026
Time
08:00 PM – 10:00 PM
Duration
8 weeks
Our team will craft the perfect batch for you.
Real Feedback from our clients
Round-the-clock assistance
Professional profile building
Expert resume crafting
Mentorship from graduates
Mock interviews & tips
Real-world experience



Azure Data Engineer Training – Associate
SAA-C03
130 minutes
Multiple Choice & Multi-Response
720 (Scale: 100–1000)
Associate

Prepare
Curated questions with expert answers to help you ace your next interview.
What is Azure Data Factory?
Azure Data Factory is a cloud-based ETL and data integration service used to create, schedule, and automate data pipelines across multiple data sources.
What is the difference between ETL and ELT?
ETL transforms data before loading it into storage, while ELT first loads raw data into the destination system and performs transformation afterward.
What is Azure Databricks used for?
Azure Databricks is used for big data processing, data transformation, machine learning, and scalable analytics using Apache Spark.
What is Azure Synapse Analytics?
Azure Synapse Analytics is an integrated analytics platform that combines data warehousing, big data analytics, and data integration in a unified workspace.
Delta Lake is a storage layer that provides ACID transactions, schema enforcement, and reliable data processing for big data workloads in Azure Databricks.
Support
Can't find what you're looking for? Reach out to our support team anytime.
What is Azure Data Engineering?
Azure Data Engineering involves designing, building, and managing data pipelines and analytics solutions using Microsoft Azure cloud services like ADF, Databricks, Synapse, and Data Lake.
Is this course suitable for freshers?
Yes, this course is beginner-friendly and includes fundamentals of Azure, SQL, ETL, and cloud technologies before moving to advanced concepts.
Which job roles can I apply for after this course?
You can apply for roles like Azure Data Engineer, Cloud Data Engineer, ETL Developer, Big Data Engineer, Data Analyst, and Azure Developer.
Does this course include hands-on projects?
Yes, the course includes real-time projects using Azure Data Factory, Databricks, Synapse Analytics, and PySpark for practical exposure.
Which certification does this course prepare me for?
This course aligns with Microsoft’s DP-203: Data Engineering on Microsoft Azure certification.
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One thing I really liked about the Data Analyst course at JastTech is their focus on consistency. Regular sessions and tasks help you stay on track and build a daily learning habit. Also, they provide recordings after live sessions, which help in revision.
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JastTech
Training & Development Center
Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081
JastTech
Training & Development Center
Office 402, Tech Park Road, Hinjewadi, Pune, Maharashtra 411057
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
JastTech
Training & Development Center
Plot no 9, IT Park, Madhapur, Hyderabad, Telangana 500081
JastTech
Training & Development Center
Office 402, Tech Park Road, Hinjewadi, Pune, Maharashtra 411057
JastTech
Training & Development Center
Millenium City - Tower I, Salt Lake, Kolkata, West Bengal 700091
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