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Master Azure Data Engineer

Gain in-demand skills to launch or upgrade your career in cloud data engineering. Learn how to build end-to-end data pipelines, transform ... Show more
Instructor
JACS Academy
7 Students enrolled
  • Description
  • Curriculum
  • FAQ

The Data Engineering with Azure course at JACS Academy is a comprehensive, hands-on program crafted to equip learners with the skills needed to build and maintain scalable, high-performance data systems in the cloud.

This course emphasizes practical implementation using tools like Azure Data Factory, Databricks, Azure Data Lake, and Apache Spark, enabling students to design and manage real-world data pipelines. You’ll learn how to work with batch and streaming data, implement robust ETL/ELT workflows, and optimize data storage and processing for modern analytics needs.

Designed in alignment with current industry standards, the course focuses on helping you transform raw data into structured, meaningful insights, preparing you for real-time challenges faced by data engineering teams in startups and enterprises alike.

SQL
ADF
Databricks
1. What is the Azure Data Engineer role, and why should I pursue it?
Azure Data Engineers build and manage data pipelines, storage solutions, and analytics systems in Microsoft Azure. With the rapid shift to cloud, demand for skilled data engineers is growing — this role offers high salaries, global demand, and long-term career growth.
2. Do I need a technical background to join this course?
No prior experience is required. We start from the fundamentals and gradually build your skills. However, familiarity with basic programming or databases is a plus.
3. What are the key tools and technologies I will learn?
You’ll work hands-on with:
Azure Data Factory (ADF), Azure Databricks, Azure Data Lake (Gen2), SQL, Spark, CI/CD & Monitoring in Azure
4. Will I work on real projects?
Absolutely. You’ll complete industry-grade case studies and end-to-end projects simulating real-world Azure data workflows and pipelines.
5. Is there any placement assistance?
We offer career support, resume reviews, mock interviews, and guidance to help you confidently apply for data engineering roles.
6. What is the duration and schedule of the course?
The course runs for 8–10 weeks, with flexible evening/weekend batches designed for working professionals and students.
ChatGPT Image Jul 13, 2025, 12_47_51 AM
Course details
Lectures 88
Level Beginner
Basic info
Field Details
Course Name Master Azure Data Engineer
Academy JACS Academy
Level Beginner to Intermediate
Mode of Delivery Recorded
Language English
Tools & Platforms Azure Data Factory, Databricks, PySpark, SQL, ADLS
Type of Course Instructor-led, Project-based
Job Roles Targeted Data Engineer, Cloud Data Engineer, ETL Developer
Support Provided Doubt-clearing sessions, mentor guidance, resume review
Course requirements

To get the most out of this course, learners should have:

✅Basic understanding of programming (preferably Python)
✅Familiarity with databases and SQL
✅Interest in cloud technologies and data architecture
✅A laptop with internet access (no special hardware required)

Intended audience

This course is ideal for:

💻 Final year students or fresh graduates seeking a career in data engineerin

🧑‍💼 IT professionals or software engineers transitioning into data roles

🧠 Self-learners interested in working with cloud, big data, and analytics

🧑‍🏫 Trainers, instructors, or freelancers looking to upskill in Azure-based data tools

Whether you're just starting your tech journey or looking to specialize in one of the most high-demand domains today, this course will prepare you with practical, job-ready expertise.