Can working professionals join the course?

Yes. The program is designed to support working professionals who want to develop or upgrade their data engineering skills alongside their existing professional experience.

Is an online learning option available?

An online learning format can help learners study data engineering concepts and practical workflows remotely, depending on the available course delivery format.

How long does a Data Engineering Course take?

The course duration is 6 months, covering foundational concepts, advanced technologies, practical projects, and career preparation.

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CoursesHigh Demanding

Data Engineering Course in Chennai

High Demanding

Data Engineering Course in Chennai

Q: What is a Data Engineering Course in Chennai?

A Data Engineering Course in Chennai teaches learners how to collect, process, transform, store, and manage data using technologies such as Python, SQL, ETL, data pipelines, data warehouses, Spark, and cloud platforms.

Q: Is the Data Engineer Course in Chennai suitable for beginners?

Yes. Beginners can start with foundational programming, SQL, databases, and data engineering concepts before progressing to advanced tools and projects.

Q: What are the prerequisites for learning data engineering?

Basic programming, logical reasoning, databases, or SQL knowledge can be helpful. However, learners can begin with foundational Python and SQL concepts as part of a structured learning path.

Q: What does Data Engineering Training in Chennai cover?

The training covers Python, SQL, databases, ETL and ELT, data pipelines, data warehousing, data lakes, Spark, Airflow, Kafka, cloud data engineering, and practical projects.

Q: Does the course include practical projects?

Yes. The curriculum includes practical projects involving data pipelines, ETL workflows, data warehousing, cloud data engineering, and real-time data processing.

Q: What technologies are covered in Data Engineering Courses in Chennai?

The program covers technologies and concepts including Python, SQL, Apache Spark, PySpark, Apache Airflow, Apache Kafka, data warehouses, data lakes, and cloud data engineering.

Q: What career opportunities are available after learning data engineering?

Learners can prepare for roles such as Data Engineer, Junior Data Engineer, ETL Developer, Data Integration Engineer, Cloud Data Engineer, Data Warehouse Engineer, and Big Data Engineer.

Build practical data engineering skills with a Data Engineer Course in Chennai covering Python, SQL, ETL, data pipelines, data warehousing, Apache Spark, cloud platforms, and modern data workflows. This Data Engineering Training in Chennai combines hands-on projects, structured learning, and certification-focused training for beginners, freshers, and working professionals.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

About

Training Plan

Course Curriculum

New Batch

Projects

Certificate

Testimonials

FAQ

Interview FAQ

Placement Client

About Data Engineering Course in Chennai

TechPratham’s Data Engineering Course in Chennai is designed for learners who want to build practical skills in modern data engineering and prepare for data-focused technology roles. The Data Engineer Course in Chennai covers Python, SQL, databases, ETL and ELT, data pipelines, data warehousing, data lakes, cloud data engineering, Apache Spark, workflow orchestration, and real-time data processing.

The Data Engineering Training Course in Chennai combines structured learning with hands-on projects to help learners understand how data is collected, transformed, processed, stored, and delivered for analytics and business applications. Learners can also choose an Online Data Engineering Course in Chennai with practical exposure to modern data workflows and tools.

The program supports learners exploring a Data Engineering Certification Course in Chennai and Data Engineering Course with Certification in Chennai. It is suitable for beginners seeking a Data Engineering Course for Beginners in Chennai and working professionals looking for focused upskilling.

Training Plan

About trainer

Working professional who is carrying more than 10 years of industry experience.

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

e-Book

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

Video Recording

Daily Session would be recorded and shared to the candidate.

Projects

Live projects will be provided for hands-on practice.

Resume Building

Expert-guided resume building with industry-focused content support.

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Data Engineering Course Curriculum

Module 1: Data Engineering Fundamentals

Understand the role of data engineering, modern data architectures, data lifecycle, and the foundations required to build reliable data systems.

Introduction to Data Engineering

Role of a Data Engineer

Data Engineering Lifecycle

Structured and Unstructured Data

Data Sources and Data Formats

Data Architecture Fundamentals

OLTP and OLAP

Modern Data Engineering Workflow

Module 2: Python for Data Engineering

Learn Python programming concepts required for data processing, automation, file handling, APIs, and data engineering workflows.

Python Fundamentals

Variables and Data Types

Conditions and Loops

Functions

Lists, Tuples, Sets and Dictionaries

File Handling

Exception Handling

Object-Oriented Programming

Python Libraries for Data Engineering

Automation with Python

Module 3: SQL and Database Management

Build strong SQL and database skills for querying, transforming, managing, and analyzing structured data.

Relational Database Concepts

SQL Fundamentals

SELECT Queries

Filtering and Sorting

Joins

Subqueries

Common Table Expressions

Window Functions

Aggregations

Stored Procedures

Indexing

Query Optimization

Database Management

Module 4: Data Modeling and Warehousing

Learn how to design data models and build warehouse structures that support analytics, reporting, and business intelligence.

Data Modeling Fundamentals

Entity Relationship Models

Normalization

Denormalization

Star Schema

Snowflake Schema

Fact Tables

Dimension Tables

Slowly Changing Dimensions

Data Warehouse Architecture

Data Marts

Warehouse Optimization

Module 5: ETL and ELT Pipelines

Learn how data is extracted, transformed, and loaded into analytical systems using modern ETL and ELT approaches.

ETL Fundamentals

ELT Fundamentals

ETL vs ELT

Data Extraction

Data Transformation

Data Loading

Batch Processing

Incremental Loads

Data Validation

Error Handling

Pipeline Scheduling

ETL Best Practices

Module 6: Data Integration and Processing

Understand how data from multiple sources can be integrated, transformed, validated, and prepared for downstream applications.

Data Integration Concepts

API Data Integration

Database Integration

File-Based Data Sources

JSON and CSV Processing

Data Transformation

Data Cleaning

Data Validation

Schema Management

Data Quality

Integration Workflows

Module 7: Apache Spark and Big Data

Learn distributed data processing concepts and use Apache Spark and PySpark to process large datasets efficiently.

Big Data Fundamentals

Apache Spark Architecture

Spark Components

RDDs

DataFrames

Spark SQL

PySpark

Transformations and Actions

Partitioning

Caching

Spark Optimization

Distributed Processing

Module 8: Data Lakes and Lakehouse

Understand modern data storage architectures including data lakes and lakehouse systems for scalable analytics and machine learning workloads.

Data Lake Fundamentals

Data Lake Architecture

Data Lake vs Data Warehouse

Data Lake Zones

Data Formats

Parquet

Data Lake Governance

Lakehouse Architecture

Data Storage Strategies

Analytics Workloads

Module 9: Cloud Data Engineering

Learn the fundamentals of cloud-based data engineering and understand how data pipelines and storage systems operate in cloud environments.

Cloud Data Engineering Fundamentals

Cloud Storage

Cloud Databases

Cloud Data Warehouses

Cloud ETL

Data Pipeline Architecture

Azure Data Engineering Concepts

AWS Data Engineering Concepts

Cloud Security Basics

Cloud Data Governance

Scalable Cloud Workflows

Module 10: Data Workflow Orchestration

Learn how to schedule, automate, monitor, and manage dependencies between data engineering workflows.

Workflow Orchestration

Apache Airflow

DAGs

Tasks and Operators

Scheduling

Dependencies

Sensors

Pipeline Monitoring

Error Handling

Retry Strategies

Workflow Automation

Module 11: Real-Time Data Engineering

Understand streaming data systems and learn how real-time events can be ingested, processed, monitored, and delivered for analytics.

Batch vs Streaming

Real-Time Data Processing

Event-Driven Architecture

Apache Kafka

Kafka Producers

Kafka Consumers

Topics and Partitions

Streaming Pipelines

Event Processing

Monitoring Streaming Workflows

Real-Time Data Architecture

Module 12: Projects and Career Preparation

Apply data engineering concepts through practical projects while preparing for technical interviews and data engineering career opportunities.

End-to-End Data Pipeline Project

ETL Project

Cloud Data Engineering Project

Real-Time Streaming Project

Data Warehouse Project

Pipeline Monitoring

Project Documentation

Git and Version Control

Resume Preparation

Data Engineering Interview Preparation

Technical Interview Practice

High Demanding Courses

No related courses found

Additional Program Highlights

Comprehensive study materials and resources

Professional resume building session

Master your interview skills

Real-world project demonstrations

Upcoming Batches

✓ Selected

Weekdays

📅 24 Sept 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Weekends

📅 27 Sept 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Weekdays

📅 29 Sept 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Weekdays

📅 30 Sept 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Can't find a batch you were looking for?

Who Should Take This Data Engineering Course?

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Working Professionals

Ops/Administrators/HR

Developers

BA/QA Engineers

Cloud / Infra

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Career Opportunities After Learning Data Engineering

Data Engineer

Junior Data Engineer

Data Pipeline Engineer

ETL Developer

Data Integration Engineer

Data Warehouse Engineer

Cloud Data Engineer

Big Data Engineer

Data Engineer

Junior Data Engineer

Data Pipeline Engineer

Key Projects

Practical Data Engineering Projects

KPMG – Audit Data Pipeline

Scenario: Build a data pipeline to consolidate audit-related datasets from multiple sources for structured analysis.

Live Work:

Extract data from multiple sources
Transform and validate audit data
Load data into a warehouse

Outcome: Reliable audit data pipeline

Deloitte – Analytics Data Warehouse

Scenario: Design a centralized warehouse for integrating business datasets and supporting analytics and reporting workflows.

Live Work:

Design fact and dimension tables
Build ETL transformation workflows
Prepare analytics-ready datasets

Outcome: Centralized analytics warehouse

Accenture – Cloud Data Pipeline

Scenario: Develop a cloud-based pipeline for ingesting, transforming, and storing business data for scalable analytics.

Live Work:

Build cloud ingestion workflow
Transform incoming datasets
Store processed data in cloud

Outcome: Scalable cloud data pipeline

Infosys – Real-Time Data Platform

Scenario: Create a streaming data workflow to process incoming events and make structured data available for analysis.

Live Work:

Ingest streaming events
Process real-time data
Monitor streaming workflows

Outcome: Real-time data platform

Placement Process

Live Class with Industry Use Cases

Interactive learning
Real-world examples
Expert guidance
Doubt resolution

Daily Assignment & Weekly Assessments

Hands-on practice
Concept reinforcement
Weekly evaluation
Timely feedback

Project Testing & Deployment

Project development
Testing practice
Deployment exposure
Portfolio creation

Interview Preparation (Mock, PD, Alumni Session)

Mock interviews
Personal development
Alumni guidance
Confidence building

Resume Building

Resume crafting
Industry-focused format
Skills highlighting
Professional presentation

Placement

Job assistance
Interview support
Career guidance
Opportunity access

Latest Hiring

No hiring posts

Recently Placed Candidates

No placements available

Latest Hiring

No hiring posts

Our Success Mantra

Commitment

Ensuring quality training every day

Fulfillment

Meeting learning goals with confidence

Accomplishment

Students achieving industry-ready expertise

Our Learner Voice

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What Makes TechPratham Training Different?

Feature

TechPratham Advantage

Industry Standard Institutes

Real-World Implementation

Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.

Restricted or simulation-based access that lacks real-world complexity.

Subject Matter Experts

Mentorship from certified professionals with 15+ years of global industry experience.

Generic instructors with no hands-on implementation background.

2026 Ready Curriculum

AI-driven curriculum with advanced platform integrations and real-world configurations.

Basic, outdated syllabus that misses key technical integrations.

Daily & Weekly assignments

Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.

Self-paced learning with no accountability or progress tracking.

End-to-End Lifecycle

Hands-on project testing and deployment with portfolio-ready real-world exposure.

Basic lab exercises without any deployment or testing practice.

Interview Readiness

Structured interview preparation including mock interviews, PD sessions, and alumni guidance.

Minimal support limited to a generic certificate of completion.

Placement Support

Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.

Basic career tips with no direct industry connections.

Training Support

24/7 technical doubt resolution and personalized mentoring support.

Limited mentor availability and no support after class hours.

Affordable Fees

Competitive fixed pricing with flexible payment options and transparent fee structure.

Inflated fees with hidden costs and low return on investment.

Real-World Implementation

Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.

Restricted or simulation-based access that lacks real-world complexity.

Subject Matter Experts

Mentorship from certified professionals with 15+ years of global industry experience.

Generic instructors with no hands-on implementation background.

2026 Ready Curriculum

AI-driven curriculum with advanced platform integrations and real-world configurations.

Basic, outdated syllabus that misses key technical integrations.

Daily & Weekly assignments

Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.

Self-paced learning with no accountability or progress tracking.

End-to-End Lifecycle

Hands-on project testing and deployment with portfolio-ready real-world exposure.

Basic lab exercises without any deployment or testing practice.

Interview Readiness

Structured interview preparation including mock interviews, PD sessions, and alumni guidance.

Minimal support limited to a generic certificate of completion.

Placement Support

Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.

Basic career tips with no direct industry connections.

Training Support

24/7 technical doubt resolution and personalized mentoring support.

Limited mentor availability and no support after class hours.

Affordable Fees

Competitive fixed pricing with flexible payment options and transparent fee structure.

Inflated fees with hidden costs and low return on investment.

What is a Data Engineering Course in Chennai?

Is the Data Engineer Course in Chennai suitable for beginners?

What are the prerequisites for learning data engineering?

What does Data Engineering Training in Chennai cover?

Does the course include practical projects?

What technologies are covered in Data Engineering Courses in Chennai?

Industry-Recognized Certification

Data Engineering Certificate

News Highlights

TechPratham Introduces Hire-Train-Deploy Model to Transform HR & ERP Talent in the AI Era

TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

Featured In

TechPratham Gains Recognition for Bridging the HR & ERP Skills Gap with Hire-Train-Deploy

TechPratham's Hire-Train-Deploy Approach Reshaping HR & ERP Careers in the AI-Driven Industry

About Us

TechPratham is an ISO 9001:2015 certified IT Training and Development, delivering industry-focused certification courses with expert guidance and placement support.

CIN:U62013UP2025PTC223378GST:09AALCT8794N1Z2

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Noida Office:B-24, Sector-1, Noida, Uttar Pradesh - 201301

Hyderabad Office:LVS Arcade, 71, Hitech, 6th floor, Madhapur Road, Jubilee Enclave, HITEC City, Hyderabad - 500081

+91-8882178896

+1 (343) 477-0926

info@techpratham.com

All Courses

Start typing to search courses...

Data Engineering Course in Chennai

Enquire This Course

Placement Client

About Data Engineering Course in Chennai

Training Plan

About trainer

Decks & Updated Content

e-Book

Assignments & MCQs

Video Recording

Projects

Resume Building

Interview Preparation

Data Engineering Course Curriculum

Module 1: Data Engineering Fundamentals

Module 2: Python for Data Engineering

Module 3: SQL and Database Management

Module 4: Data Modeling and Warehousing

Module 5: ETL and ELT Pipelines

Module 6: Data Integration and Processing

Module 7: Apache Spark and Big Data

Module 8: Data Lakes and Lakehouse

Module 9: Cloud Data Engineering

Module 10: Data Workflow Orchestration

Module 11: Real-Time Data Engineering

Module 12: Projects and Career Preparation

High Demanding Courses

Additional Program Highlights

Upcoming Batches

Who Should Take This Data Engineering Course?

Career Opportunities After Learning Data Engineering

Key Projects

Practical Data Engineering Projects

KPMG – Audit Data Pipeline

Live Work:

Deloitte – Analytics Data Warehouse

Live Work:

Accenture – Cloud Data Pipeline

Live Work:

Infosys – Real-Time Data Platform

Live Work:

Placement Process

Live Class with Industry Use Cases

Daily Assignment & Weekly Assessments

Project Testing & Deployment

Interview Preparation (Mock, PD, Alumni Session)

Resume Building

Placement

Latest Hiring

Recently Placed Candidates

Latest Hiring

Our Success Mantra

Commitment

Fulfillment

Accomplishment

Our Learner Voice

Beyond Courses:

What Makes TechPratham Training Different?

What is a Data Engineering Course in Chennai?

Is the Data Engineer Course in Chennai suitable for beginners?

What are the prerequisites for learning data engineering?

What does Data Engineering Training in Chennai cover?

Does the course include practical projects?

What technologies are covered in Data Engineering Courses in Chennai?

What is Data Engineering?

What is the difference between ETL and ELT?

What is a data pipeline?

What is data modeling?

What is a data warehouse?

What is Apache Spark?

Data Engineering Professional Certificate

Industry-Recognized Certification

News Highlights

Featured In

About Us

Courses

Company

Contact Us