Does the course provide certification?

The program includes certification-oriented learning, assessments, and practical project work leading to a Data Engineering Professional Certificate upon meeting the applicable completion requirements.

What skills are required for a data engineer?

Important skills include SQL, Python, databases, ETL, data pipelines, data modeling, data warehousing, cloud technologies, distributed processing, data integration, and workflow orchestration.

What is the Data Engineering Career Path?

A data engineering career can progress from foundational programming and database skills toward ETL development, pipeline engineering, cloud data engineering, data platforms, big data processing, and data architecture.

How can I become a data engineer?

A typical learning path includes Python, SQL, databases, data modeling, ETL, data pipelines, cloud technologies, distributed processing, practical projects, and interview preparation.

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CoursesHigh Demanding

Data Engineering Training in India

High Demanding

Data Engineering Training in India

Q: What is Data Engineering Training in India?

Data Engineering Training in India teaches learners how to collect, process, transform, store, integrate, and manage data using technologies such as Python, SQL, ETL, data pipelines, databases, Spark, and cloud platforms.

Q: What is a Data Engineering Course in India?

A Data Engineering Course in India provides structured learning in data engineering fundamentals, programming, databases, ETL, data pipelines, data warehousing, big data, cloud technologies, and practical projects.

Q: Who can join Data Engineering Training?

Beginners, graduates, software professionals, data analysts, database professionals, cloud professionals, and working professionals can learn data engineering based on their existing background and career goals.

Q: Is this Data Engineering Course suitable for beginners?

Yes. The curriculum starts with data engineering fundamentals, Python, SQL, and database concepts before progressing to ETL, Spark, cloud, and advanced data engineering technologies.

Q: Can working professionals take this training?

Yes. The program covers practical and career-oriented concepts that can help working professionals build or expand their data engineering skills.

Q: Does the training include practical projects?

Yes. Learners work on practical projects involving ETL, data pipelines, data warehousing, cloud data platforms, and real-time data processing.

Build practical data engineering skills with Data Engineering Training in India covering Python, SQL, ETL, data pipelines, data warehousing, Apache Spark, cloud data engineering, and modern data platforms. This job-oriented Data Engineering Course in India is designed for beginners and working professionals with hands-on projects, certification, and career-focused learning.

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 Training in India

TechPratham’s Data Engineering Training in India is designed for learners and working professionals who want to build practical skills in modern data engineering. This Data Engineering Training Course in India covers Python, SQL, databases, ETL and ELT, data pipelines, data integration, data warehousing, data lakes, Apache Spark, cloud data engineering, workflow orchestration, and real-time data processing.

The program provides a structured Data Engineering Course in India with hands-on projects that help learners understand how data moves from source systems to analytical platforms. Beginners can build their foundation through an Online Data Engineering Course for Beginners in India, while professionals can strengthen their skills through flexible online learning.

With practical projects, assessments, and certification, the program supports learners exploring Data Engineering Courses in India, Data Engineering Training with Certification in India, and a Data Engineering Career Path. It also helps develop job-ready skills for roles such as Data Engineer, ETL Developer, Cloud Data Engineer, and Data Pipeline Engineer.

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 Training Curriculum

Module 1: Data Engineering Fundamentals

Learn the foundations of data engineering and understand how modern data systems collect, process, store, and deliver data.

What Is Data Engineering

Data Engineering Fundamentals

Role of a Data Engineer

Data Engineering Lifecycle

Data Engineering Architecture

Types of Data

Data Sources

Structured and Unstructured Data

Batch and Streaming Data

Data Engineering Workflow

Module 2: Python for Data Engineering

Build Python programming skills required for data processing, automation, file handling, and data pipeline development.

Python Fundamentals

Variables and Data Types

Conditional Statements

Loops

Functions

Lists and Dictionaries

File Handling

Exception Handling

Object-Oriented Programming

Python Libraries

Data Processing with Python

Module 3: SQL and Database Management

Develop SQL skills for querying, transforming, validating, and managing data across relational database systems.

SQL Fundamentals

SELECT Queries

Filtering and Sorting

Joins

Aggregations

Subqueries

Common Table Expressions

Window Functions

Views

Stored Procedures

Query Optimization

Database Concepts

Module 4: Data Modeling and Warehousing

Learn how to organize data into scalable models and design data warehouse environments for analytical workloads.

Data Modeling Fundamentals

Relational Data Models

Dimensional Modeling

Fact Tables

Dimension Tables

Star Schema

Snowflake Schema

OLTP and OLAP

Data Warehousing

Slowly Changing Dimensions

Warehouse Architecture

Module 5: ETL and ELT Pipelines

Learn how data is extracted, transformed, validated, and loaded between source and target systems.

ETL Fundamentals

ELT Architecture

Data Extraction

Data Transformation

Data Loading

Batch ETL

Incremental Loads

Pipeline Dependencies

Error Handling

Pipeline Monitoring

ETL Best Practices

Module 6: Data Integration and Processing

Understand how data from multiple sources is integrated, transformed, validated, and prepared for downstream systems.

Data Integration

Data Processing

API Integration

File-Based Integration

Database Integration

Data Transformation

Data Validation

Data Quality

Schema Management

Metadata

Error Management

Module 7: Apache Spark and Big Data

Develop practical knowledge of distributed data processing and Apache Spark for large-scale datasets.

Big Data Fundamentals

Distributed Computing

Apache Spark

Spark Architecture

Spark DataFrames

Spark SQL

Transformations

Actions

Partitioning

Caching

PySpark

Spark Optimization

Module 8: Data Lakes and Lakehouse

Explore modern storage architectures for managing structured, semi-structured, and unstructured data at scale.

Data Lake Fundamentals

Data Lake Architecture

Data Lake Storage

Data Lakehouse

Lakehouse Architecture

Parquet

Data Catalogs

Metadata Management

Data Storage Layers

Modern Data Platforms

Module 9: Cloud Data Engineering

Learn the fundamentals of designing scalable data solutions using cloud-based storage, processing, and analytics services.

Cloud Data Engineering

Cloud Storage

Cloud Databases

Cloud Data Warehouses

Cloud Data Pipelines

Cloud Processing

Identity and Access

Scalability

Monitoring

Cloud Data Architecture

Module 10: Data Workflow Orchestration

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

Workflow Orchestration

Pipeline Scheduling

Apache Airflow

DAGs

Tasks

Task Dependencies

Workflow Automation

Pipeline Monitoring

dbt Fundamentals

Data Transformation Workflows

Module 11: Real-Time Data Engineering

Understand streaming architectures and technologies used for processing and delivering data in real time.

Batch vs Streaming

Real-Time Data Processing

Event-Driven Architecture

Streaming Pipelines

Apache Kafka

Kafka Producers

Kafka Consumers

Topics and Partitions

Stream Processing

Real-Time Analytics

Module 12: Projects and Career Preparation

Apply data engineering concepts through end-to-end projects while developing portfolio and interview preparation skills.

End-to-End Data Engineering Project

Data Pipeline Project

ETL Implementation

Data Warehouse Project

Cloud Data Project

Data Quality Validation

Project Documentation

Portfolio Development

Technical Interview Preparation

Data Engineering Career Path

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

📅 22 Sept 2026

⏰ Time

07:00 AM11:00 AM

02:00 PM09:00 PM

Weekdays

📅 25 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

📅 28 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 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

Data Engineering Career Opportunities

Data Engineer

Junior Data Engineer

ETL Developer

Data Pipeline Engineer

Data Integration Engineer

Data Warehouse Engineer

Cloud Data Engineer

Big Data Engineer

Data Engineer

Junior Data Engineer

ETL Developer

Key Projects

Data Engineering Project

KPMG – Audit Data Pipeline

Scenario: Build a centralized pipeline to process audit datasets from multiple business systems and prepare reliable data for analysis.

Live Work:

Build automated ETL pipelines
Validate and transform source data
Load data into warehouse tables

Outcome: Reliable audit data pipeline

Deloitte – Analytics Data Warehouse

Scenario: Design a centralized warehouse that integrates business datasets for reporting, analytics, and data-driven insights.

Live Work:

Design dimensional data models
Build warehouse transformation flows
Optimize analytical SQL queries

Outcome: Scalable analytics warehouse

Accenture – Cloud Data Pipeline

Scenario: Develop a cloud-based pipeline that collects, transforms, and processes data from multiple enterprise sources.

Live Work:

Create cloud ingestion workflows
Transform incoming datasets
Monitor pipeline execution

Outcome: Automated cloud data workflow

Infosys – Real-Time Data Platform

Scenario: Develop a streaming workflow to process operational events and make processed information available for analytics.

Live Work:

Build streaming ingestion pipeline
Process real-time event data
Monitor streaming workloads

Outcome: Real-time data processing 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 Data Engineering Training in India?

What is a Data Engineering Course in India?

Who can join Data Engineering Training?

Is this Data Engineering Course suitable for beginners?

Can working professionals take this training?

Does the training include practical projects?

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 Training in India

Enquire This Course

Placement Client

About Data Engineering Training in India

Training Plan

About trainer

Decks & Updated Content

e-Book

Assignments & MCQs

Video Recording

Projects

Resume Building

Interview Preparation

Data Engineering Training 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 Data Engineering Course?

Data Engineering Career Opportunities

Key Projects

Data Engineering Project

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 Data Engineering Training in India?

What is a Data Engineering Course in India?

Who can join Data Engineering Training?

Can working professionals take this training?

Does the training include practical projects?

What is ETL in data engineering?

What is the difference between ETL and ELT?

Why is SQL important for data engineers?

How is Python used in data engineering?

What is a data pipeline?

What is Apache Spark?

Data Engineering Professional Certificate

Industry-Recognized Certification

News Highlights

Featured In

About Us

Courses

Company

Contact Us

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