01
Relational Data and Warehousing
Query relational databases, combine multiple tables and design structured data models for enterprise analytics.
SQLData WarehousingData Modeling
Master Data Engineering Program in Bangalore
Build job-ready Data Engineering skills through a structured 6-month program covering SQL, Python, AWS Cloud, Apache Spark, Databricks, Snowflake, dbt, Airflow and applied AI. Gain hands-on experience through practical projects, 1:1 mentoring and an end-to-end capstone project designed to prepare you for Data Engineering roles.
Duration
6 Months
Batches
Weekday & Weekend
Training
Online/Offline
Let's Get You Enrolled
Trusted by Learners and Hiring Partners Across the Industry
Our growing community of learners and industry connections reflects our commitment to practical, career-focused training. With 15K+ learners and 115+ hiring partners, iBridge360 helps bridge the gap between technical learning and real-world career opportunities. The program is run in association with Startup India, NASSCOM and Skill India.
- 15K+Learners
- 115+Hiring Partners
- 6 MonthsProgram Length
Master Data Engineering Program Curriculum
A 6-month learning path in five phases, from data foundations to modern data platforms and applied AI.
Module 1: Relational Databases, SQL and Data Warehousing
Query relational databases, combine data from multiple tables, design structured data models and understand how data is organized for analytics.
Topics Covered- RDBMS concepts and architecture
- SQL fundamentals (DDL, DML, DQL)
- Joins, subqueries and window functions
- Normalization and data modelling
- Data warehousing and ETL concepts
Module 1: Relational Databases, SQL and Data Warehousing
Query relational databases, combine data from multiple tables, design structured data models and understand how data is organized for analytics.
Topics Covered
- RDBMS concepts and architecture
- SQL fundamentals (DDL, DML, DQL)
- Joins, subqueries and window functions
- Normalization and data modelling
- Data warehousing and ETL concepts
Download Complete Curriculum & Brochure
Get the detailed syllabus breakdown, capstone project details, and tools in PDF.
Earn Your Master Data Engineering Certificate
Receive an official iBridge360 Certificate of Completion for the 6-Month Master Data Engineering Program validating your expertise in modern data pipelines, cloud technologies, databases, Spark, Databricks, Snowflake, and AI.
Sample certificate
Hands-On Learning
Hands-On Learning and Capstone Project
Apply your Data Engineering skills to practical business scenarios across data ingestion, transformation, warehousing, orchestration, analytics and AI.
02
Python Data Processing & ETL
Write reusable scripts to read files, process structured and unstructured data, call REST APIs and connect to databases.
PythonPandasAPIs
03
Cloud Data Pipelines on AWS
Set up cloud infrastructure, work with Amazon S3 storage data lakes and AWS Glue for automated data cataloging and ETL.
AWS S3IAMAWS Glue
04
Big Data Pipelines with PySpark
Process high-velocity and large volume datasets using Apache Spark distributed dataframes and build scalable batch pipelines.
Apache SparkPySparkSpark SQL
05
Lakehouse & Modern Data Platforms
Build Bronze, Silver, and Gold medallion layers for real-world analytics using Databricks Delta Lake, Snowflake, and dbt.
DatabricksDelta LakeSnowflakedbt
06
End-to-End Capstone with AI Integration
Take a business problem from data ingestion to Airflow orchestration, analytical Power BI reports, and LLM/RAG integration for mentor presentation.
AirflowLLMs & RAGPower BIGitHub
Social Proof
Trusted by Real Learners
Honest feedback from professionals who completed our programs — structured training, mentor support, and career outcomes that speak for themselves.
- 500+Learners Trained
- 4.9/5Average Rating
- 100%Real Learner Stories
The Data Engineering program prepared me for real industry work. With strong fundamentals and placement support from iBridge360, I am now working as a GIS Analyst at Deduce Technologies.
iBridge360’s Data Engineering batch helped me build practical skills and confidence. I am proud to be placed as a Data Engineer at Aroha Technologies.
Joining iBridge360 was one of the best decisions for my career. The trainers explain concepts in a simple and practical way, making it easy to understand even complex topics.
iBridge360 provides much more than just technical training. Every topic is taught with practical use cases, and the support team is responsive throughout the program.
The Data Engineering program at iBridge360 gave me the skills and confidence I needed. With strong mentorship and placement support, I am now working as a Data Analyst at Richrise Global.
Career Opportunities After the Master Data Engineering Program
A strong foundation in SQL, Python, cloud, big data processing, modern data platforms and orchestration can prepare you for several data roles.
Data EngineerBig Data EngineerETL DeveloperData Pipeline DeveloperAnalytics EngineerCloud Data Engineer (AWS)Data Warehouse EngineerDatabricks EngineerSnowflake Engineer
FAQ
Frequently Asked Questions
Everything you need to know about the Master Data Engineering Program: curriculum, learning experience, placements and enrollment.
It is a 6-month, mentor-led program that teaches you how to collect, process, transform, store and manage data for analytics and AI. It covers SQL, Python, Pandas, AWS, Power BI, Spark, Databricks, Snowflake, dbt, Airflow, LLMs and RAG, and ends with an end-to-end capstone project.
Software engineers, data analysts, BI developers, IT, cloud, database and ETL professionals, fresh graduates and career switchers. Freshers and career switchers should have basic programming knowledge.
SQL, Python, Pandas, AWS, Power BI, Linux, Git and GitHub, Apache Spark, PySpark, Databricks, Delta Lake, Snowflake, dbt, Apache Airflow, LLMs and RAG.
Yes. Module 13 covers LLMs, embeddings and vector search, RAG, tool calling and agentic workflows, and responsible AI. You also integrate an AI use case into your capstone pipeline.
Start Your Data Engineering Career
Build job-ready Data Engineering skills with practical training, a capstone project, personalized mentoring and career support from iBridge360.
Speak with an iBridge360 course advisor to get details about the Master Data Engineering curriculum, upcoming batches, payment options and enrollment.