Data Engineering Course in Bangalore
Master Data Engineering with hands-on training in Marathahalli, Bangalore. Learn SQL, Python, Spark, Kafka, Airflow, Azure, AWS, and Databricks through real-time projects and become job-ready.
Why Choose Our Data Engineering Course?
Our Data Engineering Course in Bangalore is designed for freshers, working professionals, and career changers who want to build practical skills in modern data technologies. Learn through real-time projects, industry-focused training, and hands-on practice with tools used by leading companies.
Industry-Oriented Curriculum
Learn SQL, Python, Apache Spark, Kafka, Airflow, Azure, AWS, and Databricks with a structured curriculum designed to match current industry requirements.
Real-Time Projects
Work on practical Data Engineering projects including ETL pipelines, cloud data integration, data warehousing, and big data processing to gain real-world experience.
Expert Trainers
Get trained by experienced Data Engineering professionals who share practical knowledge, best practices, and real-time implementation techniques.
Career-Focused Learning
Develop job-ready skills through assignments, coding practice, interview preparation, resume guidance, and mock interview sessions.
Cloud & Big Data Technologies
Build expertise in Azure Data Factory, AWS Data Services, Databricks, Apache Spark, and modern cloud-based Data Engineering solutions.
Hands-On Practical Training
Every concept is explained through live demonstrations, coding exercises, and practical implementation to help you become confident in Data Engineering.
What You'll Learn in This Data Engineering Course
Gain practical knowledge of modern Data Engineering tools and technologies through hands-on practice, real-world use cases, and industry-focused training. By the end of the course, you'll be confident in designing, building, and managing scalable data solutions.
SQL & Database Management
Write advanced SQL queries, optimize databases, and manage relational data efficiently.
Python Programming
Use Python for data processing, automation, ETL development, and workflow scripting.
Apache Spark
Process large datasets using Spark, PySpark, and distributed computing techniques.
Apache Kafka
Build real-time streaming pipelines using Kafka producers, consumers, and topics.
Cloud Data Engineering
Work with Azure Data Factory, Azure Data Lake, AWS S3, AWS Glue, and Databricks.
Real-Time Data Projects
Build end-to-end ETL pipelines, cloud data solutions, and real-world Data Engineering projects.
Comprehensive Data Engineering Course Curriculum
Our Data Engineering Course in Bangalore follows a practical, industry-focused curriculum covering SQL, Python, ETL, Apache Spark, Kafka, Airflow, Azure, AWS, Databricks, and real-world data engineering projects. Every module is designed to help you gain the skills required for modern Data Engineering roles.
Module 1 – Data Engineering Fundamentals
Build a strong foundation in Data Engineering concepts and modern data architecture.
- Introduction to Data Engineering
- Data Lifecycle
- Data Architecture
- Data Warehouse Concepts
- Data Lake Fundamentals
- ETL vs ELT
- Modern Data Platforms
Module 2 – SQL for Data Engineering
- SQL Fundamentals
- Joins & Relationships
- Aggregate Functions
- Window Functions
- Views & Indexing
- Stored Procedures
- Query Optimization
Module 3 – Python Programming
- Python Basics
- Functions
- OOP Concepts
- Exception Handling
- File Handling
- API Integration
- Data Processing with Python
Module 4 – ETL & Data Warehousing
- ETL Concepts
- Data Transformation
- Data Cleansing
- Data Modeling
- Star Schema
- Snowflake Schema
- Slowly Changing Dimensions (SCD)
Module 5 – Apache Spark & PySpark
- Spark Architecture
- RDD
- DataFrames
- Spark SQL
- PySpark
- Performance Optimization
- Distributed Data Processing
Module 6 – Apache Kafka
- Kafka Architecture
- Topics
- Producers
- Consumers
- Kafka Streams
- Real-Time Data Pipelines
Module 7 – Apache Airflow
- DAG Creation
- Task Scheduling
- Workflow Automation
- Monitoring Pipelines
- Airflow Best Practices
Module 8 – Azure & AWS Data Engineering
- Azure Data Factory
- Azure Data Lake
- Azure Synapse Analytics
- AWS S3
- AWS Glue
- AWS Redshift
Module 9 – Databricks & Delta Lake
- Databricks Workspace
- Notebooks
- Delta Lake
- Lakehouse Architecture
- Performance Optimization
Module 10 – Real-Time Projects & Interview Preparation
- End-to-End ETL Pipeline Project
- Cloud Data Engineering Project
- Resume Building
- Mock Interviews
- Technical Interview Questions
- Placement Guidance
Tools & Technologies You'll Master
Build practical expertise with the latest Data Engineering tools and technologies used by leading organizations worldwide. Our training focuses on hands-on implementation, enabling you to design scalable data pipelines, automate workflows, process large datasets, and manage cloud-based data platforms with confidence.
Learn advanced SQL for querying, optimizing, and managing enterprise databases.
Python
Develop ETL scripts, automate workflows, and process data efficiently.
Apache Spark
Process and analyze massive datasets using distributed computing.
Apache Kafka
Build real-time streaming applications and scalable event-driven pipelines.
Apache Airflow
Schedule, automate, and monitor complex data workflows with ease.
Microsoft Azure
Work with Azure Data Factory, Data Lake, and cloud-based analytics services.
Amazon AWS
Learn cloud storage, ETL, and data warehouse services using AWS.
Databricks
Build modern Lakehouse architectures and optimize big data workloads.
Career Opportunities After This Course
Complete our Data Engineering Course in Bangalore and become job-ready for today's fast-growing data industry. Gain hands-on experience with SQL, Python, Apache Spark, Kafka, Airflow, Azure, AWS, and Databricks to qualify for high-demand roles in leading IT companies, startups, and global enterprises.
Data Engineer
Design, build, and maintain scalable data pipelines, ETL processes, and cloud-based data platforms.
Big Data Engineer
Work with Apache Spark, Hadoop, Kafka, and distributed systems to process massive datasets efficiently.
Cloud Data Engineer
Develop cloud-native data solutions using Microsoft Azure, AWS, Data Lake, and Data Warehousing services.
ETL Developer
Create automated ETL workflows, transform enterprise data, and optimize data integration processes.
Data Analyst
Analyze business data using SQL and Python to generate reports, dashboards, and business insights.
Analytics Engineer
Bridge data engineering and analytics by building reliable datasets for business intelligence and reporting.
Your Learning Journey
Our structured Data Engineering training program takes you from the fundamentals to advanced cloud and big data technologies. Through practical assignments, real-time projects, and interview preparation, you'll build the skills employers are looking for.
Learn the Fundamentals
Build a strong foundation in SQL, databases, Python programming, and data processing concepts.
Master Big Data Tools
Gain hands-on experience with Apache Spark, Kafka, Airflow, Databricks, and modern ETL pipelines.
Build Real-Time Projects
Work on industry-based projects using Azure, AWS, cloud storage, data lakes, and streaming data.
Become Job Ready
Prepare for interviews with resume building, mock interviews, coding practice, and placement support.
Course Details
Everything you need to know about our Data Engineering Course, including duration, training mode, batch options, eligibility, and course fee.
Course Duration
Comprehensive training with hands-on practice.
6 MonthsTraining Mode
Choose the learning format that suits you.
Online & ClassroomCourse Fee
Affordable pricing with quality training.
₹45,000Batch Timings
Flexible weekday and weekend batches available.
Morning, Evening & WeekendEligibility
Ideal for students, graduates, and working professionals.
Any Graduate / IT AspirantsCertification
Receive a course completion certificate after successfully finishing the training.
Certificate IncludedStudent Success & Placement Support
Our commitment extends beyond classroom training. We provide career-focused guidance to help you build confidence, showcase your skills, and prepare for interviews with leading IT companies. From resume creation to mock interviews, our placement support is designed to help you take the next step in your Data Engineering career.
Professional Resume Building
Create an ATS-friendly resume that highlights your technical skills, projects, and certifications.
Mock Interviews
Practice technical and HR interviews with expert feedback to improve your confidence and communication.
Placement Assistance
Receive job guidance, interview opportunities, and career support to help you start your Data Engineering journey.
Career Mentorship
Get one-on-one mentoring, project reviews, and personalized guidance to achieve your career goals.
Frequently Asked Questions
Find answers to the most common questions about our Data Engineering Course, including eligibility, curriculum, projects, placement support, certification, and enrollment process.
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Ready to Build Your Career in Data Engineering?
Take the next step toward becoming a skilled Data Engineer. Join AI Data Cloud Academy and learn from industry experts through hands-on projects, practical assignments, and career-focused training. Enroll today and prepare for exciting opportunities in today's data-driven industry.