Data Engineering Course: Your Path to Success

Data Engineering Course at Ivy Professional School is designed to equip you with job-ready skills and expertise. Learn from IIT-certified faculty, work on real-world projects, and gain the confidence to transition into this high-growth field. Start your journey toward a thriving career with Ivy Pro School today!

Explore Course Curriculum
Download Brochure
Why enrol into Gen AI Course now?

Why Learn Data Engineering Now?

With the exponential growth of data, companies require skilled professionals to build and manage robust data pipelines, ensuring data is clean, accessible, and usable for business insights. Here’s why now is the perfect time to dive into data engineering

1. Demand Surge: The global market for data engineers is projected to grow at a CAGR of 12.6% through 2027.

2. High Earning Potential: Average salaries for data engineers range from ₹8 LPA to ₹25 LPA in India, depending on experience.

3. Versatile Applications: From enabling AI models to optimizing supply chains, data engineers are pivotal across sectors.

Apply Now to Best Institute

Key Trends Driving Demand for Data Engineer:

Gen AI Course - Curriculum

Comprehensive Data Engineering Course Curriculum

The Data Engineering Course at Ivy Professional School is meticulously designed to cover essential skills, tools, and concepts. Here’s a snapshot of what you’ll learn:

Download Syllabus
A. SQL FOR DATA ENGINEERING 

Module 1: Basic SQL Queries 

Module 2: Cleaning and Modifying Cloud Data using SQL

Module 3: Aggregating and Analyzing Data 

Module 4: Working with Multiple Data Tables using SQL 

Module 5: Troubleshooting and Error Handling 

Module 6: Advanced Filter and Organize Data using SQL 

Module 7: Advance Methods to Work with Data from Multiple Tables 

Module 8: Use DDL and DML Statements 

Module 9: Use Subqueries & Common Table Expressions

Module 10: Work with Advanced Table Expressions

Module 11: User Defined Functions and Stored Procedures 

Module 12: Hands On Case Studies - Capstone Projects 

Module 13: Final Project and Recap 

B. PYTHON ESSENTIALS FOR DATA ENGINEERING

Module 1: Foundations of Python Programming

Module 2: Advanced Data Structures and Basic Operations 

Module 3: Program Control Flow and Loops 

Module 4: Leveraging Functions for Data Preprocessing 

Module 5: Data Wrangling with DataFrames (Part 1) 

Module 6: Data Wrangling with DataFrames (Part 2) 

C. BIG DATA PROCESSING

Module 1: Big Data Introduction

Module 2: Hadoop

Module 3: Apache Hive 

Module 4: Apache Spark - General Purpose Cluster Computing Framework 

Module 5: Apache Spark - Structured API

Module 6: Apache Spark - Optimization

Module 7: Apache Spark - Streaming

Module 8: Real-Time Data Pipeline with Kafka

Module 9: Real-Time Data Pipelines with MongoDB

 

D. AZURE CLOUD ENGINEERING

Module 1: Fundamentals of Azure

Module 2: Virtual Machines, Storage, and Database Services

Module 3: Advanced Data Engineering with Azure

Module 4: Hybrid Cloud Data Engineering, Governance, and Compliance 

Module 5: Azure DevOps, Containers, and Security

 

Key Hands-On Projects in the Data Engineering Course

Icon

Predictive Analytics for Retail

Financial Data Modeling

Icon

Use time-series analysis to predict future sales for a major retailer and optimize inventory levels.

Create regression models to predict future stock prices or company revenue based on historical financial data.

Analyze patient data to predict treatment outcomes using machine learning models.

Healthcare Analytics

Icon
Demo a Data Engineering Project

Throughout the course, students work on 30+ practical projects designed to replicate real-world data challenges. These projects allow you to apply the skills learned and build a robust portfolio for potential employers.

Featured Projects:

Icon

Customer Segmentation

Apply clustering techniques to segment customers based on behavior for personalized marketing strategies.

Ivy Pro school Placement companies
  • Job Roles: Graduates of the best ranked Data Engineering Institute should have received various roles, including: Data Scientist, Data Analyst, Business Analyst, ML Engineer, Data Visualization Engineer, MIS Analyst, Full Stack Data Scientist, Gen AI Engineer.
  • Alumni Profiles: Check their alumni reviews and profiles.
  • Top Hiring Companies: Review the placement list of the data engineering institute. Some of the big names who are hiring learners from Data Engineering Institute include: Google, Microsoft, IBM, Accenture, Amazon, TCS, Genpact, Tata Steel, etc.
  • Salary Expectations: Look at the median salary offered to the data engineering institute's alumni. Data engineering Institute's typical salary ranges are: Entry-level: ₹10–15 Lakhs per annum. Mid-level: ₹18–30 Lakhs per annum. Senior-level: ₹40+ Lakhs per annum.

Check Past Placement Records of Data Science Institute

Download Career Transition Handbook
why Ivy Pro School's GenAI course

Ivy Pro School vs Other Data Engineering Institutes

How Ivy Professional School, an IIT Partnered, Data Engineering Institute Stands Out from the Competition

Apply Now!

AI Assessment Engine

quiz.IvyProSchool.com: A cutting-edge AI quiz engine that uses generative AI to create custom assessments, analyze performance, and deliver personalized learning recommendations for students and professionals.

Demo a Data Science Tool Now

Time2Justice.ai

A fully capable AI Judicial & Legal System. An AI-powered platform that provides predictive analytics and decision-making support in the legal and tax compliance sectors, helping CA, CS, law firms and other enterprises improve efficiency and deliver better outcomes.

Look for Data Engineering Institute with Real Projects

The best Data Engineering Institute ensures you graduate with hands-on experience

Watch real alumni reviews of the best data science institute

Click to play video

Proof of Success: Watch Alumni Reviews

1. What is Data Engineering, and why is it important to learn now?

Data Engineering focuses on designing, building, and maintaining systems that enable the efficient collection, storage, and analysis of large datasets. With businesses increasingly relying on big data for decision-making, skilled data engineers are in high demand across industries.

Discover the importance of Data Engineering in our Data Engineering Course Overview.

2. What will I learn in Ivy Professional School’s Data Engineering Course?

1. SQL for Data Engineering
2. Python Essentials for Data Engineering
3. Big Data Processing
4. Azure Cloud Engineering
5. Real-Time Data Pipelines
3. Who is this course for?

This course is ideal for:

IT professionals transitioning to data engineering roles.

Beginners aspiring to enter the big data domain.

Experienced professionals looking to enhance their cloud and data engineering skills.

Whether you’re a fresher or an experienced professional, Ivy’s course prepares you for in-demand roles in the industry.

4. How does Ivy Pro’s Data Engineering Course compare to others?

Expert-Led Live Classes: Taught by Ivy Pro founders and industry veterans.

IIT Guwahati Affiliation: Industry-aligned curriculum co-developed with IIT Guwahati.

Real-World Projects: Build scalable data pipelines and work on real-world applications.

Advanced Tools: Training on AWS, Azure, Hadoop, Spark, and more.

Career Support: Placement assistance with access to top hiring managers.

Proprietary Platforms: Access to AI-driven tools like Time2Justice.ai.

Global Alumni Network: 28,500+ alumni placed in global firms like Google and Microsoft.

Industry Certification: IIT-certified course for credibility and recognition.

Structured Duration: 6-month program with hands-on capstone projects.

Proven Placement Record: Alumni in roles like Data Engineer and Cloud Architect at top companies.

5. What kind of career support will I get after completing the course?

Ivy Pro offers comprehensive career support, including:

Resume building and interview preparation.

Direct connections with hiring managers.

Access to a global alumni network with professionals at Google, Amazon, and Microsoft.

6. What are the career prospects and salary expectations after completing a Data Engineering course?

Completing a Data Engineering course can lead to roles like:


Data Engineer

Cloud Architect

ETL Developer

Salary Expectations:


Entry-level: ₹8–12 Lakhs per annum.

Mid-level: ₹15–25 Lakhs per annum.

Senior-level: ₹30+ Lakhs per annum.

7. How long does it take to complete the course?

The Data Engineering Course can be completed in 6 months, with a weekly commitment of 6–8 hours, including live training sessions, self-paced content, and hands-on projects.

View the full course timeline on our Curriculum Page.


8. Do I need prior experience to take this course?

Data Engineer are in high demand, with salaries ranging from ₹8–12 Lakhs for entry-level roles to ₹30+ Lakhs for senior positions. Top companies hiring include Google, Microsoft, IBM, and Flipkart.

9. What are the real-world projects included in this course?

Ivy Pro’s Data Engineering Course includes real-world projects such as:

Building a scalable data pipeline.

Designing a cloud-based data warehouse.

Optimizing ETL workflows using Apache Airflow.

Frequently Asked Questions about Data Analyst Course

Download Best Data Engineering Institutes List

IIT Certified GenAI Course