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CoursesHigh Demanding
Data Engineering Course in Bangalore
High Demanding

Data Engineering Course in Bangalore

Build practical data engineering skills with a Data Engineering Course in Bangalore covering Python, SQL, ETL, data pipelines, data warehousing, cloud platforms, Apache Spark, and modern data engineering tools. Get hands-on learning, projects, certification, and career-focused training designed for beginners, freshers, and working professionals.

5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

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About Data Engineering Course in Bangalore

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

The Data Engineering Training Course in Bangalore combines structured learning with practical projects to develop job-ready technical skills. Learners can also benefit from an Online Data Engineering Course in Bangalore with hands-on exposure to data pipelines, ETL workflows, cloud platforms, and modern data engineering tools.

The program supports learners exploring a Data Engineering Certification Course in Bangalore, Data Engineering Course with Certification in Bangalore, and Data Engineering Training with Certification in Bangalore. Beginners can follow a structured Data Engineering Course for Beginners in Bangalore, while freshers and working professionals can develop practical skills through focused training and projects. The program also supports learners pursuing a Data Engineering Career Course in Bangalore and professional development.

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Training Plan

01
About trainer

About trainer

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

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

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

08
Interview Preparation

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 architecture, data workflows, data sources, storage systems, and the lifecycle of data from ingestion to analytics.

Introduction to Data Engineering
Data Engineer Responsibilities
Data Engineering Lifecycle
Data Architecture
Structured and Unstructured Data
Data Engineering Tools

Module 2: Python for Data Engineering

Build Python programming skills required for data processing, automation, file handling, API integration, and developing practical data engineering workflows.

Python Fundamentals
Data Types and Functions
Object Oriented Programming
File Handling
Exception Handling
APIs and JSON
Python Data Processing

Module 3: SQL and Database Management

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

SQL Fundamentals
Advanced SQL
Joins and Subqueries
Window Functions
Stored Procedures
Database Design
Query Optimization
Relational Databases

Module 4: Data Modeling and Warehousing

Learn how to design data models and build scalable data warehouse structures for analytical workloads and business intelligence.

Data Modeling
ER Modeling
Star Schema
Snowflake Schema
Fact and Dimension Tables
Data Warehousing
OLTP and OLAP
Slowly Changing Dimensions

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 Architecture
Data Extraction
Data Transformation
Data Loading
Batch Processing
Pipeline Design
Data Validation

Module 6: Data Integration and Processing

Understand how data from multiple sources is integrated and processed to create reliable and scalable data workflows.

Data Integration
Data Ingestion
Batch Data Processing
Data Transformation
API Data Sources
Database Integration
Data Quality
Data Validation

Module 7: Apache Spark and Big Data

Develop practical knowledge of distributed data processing using Apache Spark and PySpark for large-scale data workloads.

Big Data Fundamentals
Apache Spark
PySpark
Spark Architecture
DataFrames
Spark SQL
Distributed Processing
Spark Optimization

Module 8: Data Lakes and Lakehouse

Learn modern data storage architectures and understand how data lakes and lakehouse platforms support large-scale analytics.

Data Lake Fundamentals
Data Lake Architecture
Data Lakehouse
Data Storage
Data Formats
Parquet
Delta Lake
Lakehouse Architecture

Module 9: Cloud Data Engineering

Learn how cloud platforms support data ingestion, storage, processing, orchestration, and analytics at scale.

Cloud Data Engineering
Microsoft Azure
Azure Data Factory
Azure Data Lake Storage
Azure Synapse
Azure Databricks
Cloud Data Pipelines
Cloud Storage

Module 10: Data Workflow Orchestration

Learn how to automate, schedule, monitor, and manage complex data workflows using modern orchestration technologies.

Workflow Orchestration
Apache Airflow
DAGs
Scheduling
Task Dependencies
Pipeline Automation
Monitoring
Error Handling

Module 11: Real Time Data Engineering

Understand real-time data processing and streaming architectures used for continuously generated data.

Real Time Data Processing
Streaming Data
Apache Kafka
Kafka Architecture
Producers and Consumers
Event Driven Systems
Stream Processing
Real Time Pipelines

Module 12: Projects and Career Preparation

Apply data engineering concepts through practical projects while preparing for technical interviews and professional data engineering roles.

End to End Data Engineering Projects
ETL Pipeline Project
Data Warehouse Project
Cloud Data Pipeline Project
Real Time Data Project
Project Documentation
Interview Preparation
Career Development

High Demanding Courses

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Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

HD
Resume Writing

Professional resume building session

HD
Interview Preparation

Master your interview skills

HD
Live Project Demo

Real-world project demonstrations

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Upcoming Batches

Can't find a batch you were looking for?

Who Should Take Data Engineering Course

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Career Opportunities

Data Engineer

Junior Data Engineer

Data Pipeline Engineer

Key Projects

Data Engineering Course in Bangalore

KPMG

KPMG – Audit Data Pipeline

Scenario: Build a data pipeline to process audit datasets and prepare structured information for analytics.

Live Work:

  • Build an automated ingestion pipeline
  • Transform and validate source data
  • Load data into analytical storage
Outcome: Scalable audit data pipeline
Deloitte

Deloitte – Analytics Data Warehouse

Scenario: Design a centralized data warehouse to support reporting and analytical workloads.

Live Work:

  • Design fact and dimension tables
  • Develop ETL workflows
  • Build analytical data models
Outcome: Centralized analytics warehouse
Accenture

Accenture – Cloud Data Pipeline

Scenario: Develop a cloud-based pipeline for processing and transforming enterprise datasets.

Live Work:

  • Create cloud data ingestion
  • Build transformation workflows
  • Configure pipeline monitoring
Outcome: Scalable cloud data pipeline
Infosys

Infosys – Real Time Data Platform

Scenario: Develop a streaming data platform for processing continuously generated business data.

Live Work:

  • Configure real time data ingestion
  • Process streaming events
  • Monitor pipeline performance
Outcome: Real time data platform
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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

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What is a Data Engineering Course?

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What is Apache Spark?

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Data Engineering Professional Certificate

The Data Engineering Professional Certificate recognizes successful completion of the program and demonstrates learning across core data engineering concepts, technologies, practical projects, and modern data workflows. Learners gain hands-on exposure to Python, SQL, ETL and ELT, data pipelines, data warehousing, data lakes, Apache Spark, cloud data engineering, and workflow orchestration. The certificate reflects practical learning through industry-relevant projects and structured training, helping learners demonstrate their understanding of modern data engineering practices and tools.

Industry-Recognized Certification

Certificate
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

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