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Career Opportunity
Companies use AWS to build the data pipelines that move, transform, and prepare data for analytics and AI. Because organizations migrate data platforms to the cloud, they constantly need professionals to build and manage them. Our AWS Data Engineering Course in Chennai with Placement Support helps fresh graduates, working professionals, and career changers build a career in cloud data engineering. You will develop practical skills in data pipeline design, cloud ETL, big data processing, and data warehousing. Whether you want to become an AWS Data Engineer, ETL Developer, Big Data Engineer, or Cloud Data Architect, this training provides hands-on learning through real projects and case studies. You will use AWS Glue, Amazon Redshift, Amazon EMR, Kinesis, and S3 to build scalable cloud data pipelines. Organizations depend on AWS data engineers to build pipelines, model schemas, optimize storage, and ensure data quality. The demand for AWS data engineering increases daily in banking, healthcare, retail, manufacturing, e-commerce, logistics, and technology. Companies need skilled professionals who can design, build, and maintain enterprise cloud data infrastructure. As organizations adopt Cloud-Native Analytics, Real-Time Pipelines, and Big Data, the need for qualified professionals continues to grow.
Financial institutions use AWS data pipelines to consolidate transaction data, build fraud detection models, and support risk analytics. For example, banks use AWS Glue to automate daily transaction reconciliation.
Hospitals use AWS data pipelines to unify patient records, build compliance reporting, and support clinical analytics.
Retailers use AWS data pipelines to consolidate sales data, build recommendation engines, and analyze customer behavior at scale.
Factories use AWS data pipelines to centralize sensor data, monitor production, and support predictive maintenance analytics.
Tech companies use AWS data pipelines to power analytics platforms, machine learning pipelines, and data-driven products.
Companies need skilled professionals who can build, optimize, and maintain cloud data pipelines across every major industry.
YoY Job Growth
Demand Surge
Placement Track Record
Do you want to be the next success story?
Open to All
Anyone with a curiosity for data and cloud platforms can start a career in AWS Data Engineering. Basic SQL knowledge is helpful but not mandatory.
We update our topics to match employer expectations in Chennai, keeping content aligned with the latest industry trends.
Avg. Starting Salary: ₹4 – ₹6 LPA
ETL Developers and Database professionals seeking career advancement into cloud data engineering.
Avg. Salary Hike: 40–80% Post-Transition
ETL Developers and Database professionals seeking career advancement into cloud data engineering.
Avg. Starting Salary: ₹4 – ₹6 LPA
Professionals with database or ETL experience looking to transition into cloud data engineering roles.
Avg. Starting Salary: ₹4.5 – ₹6.5 LPA
Professionals looking to leverage cloud data infrastructure for business growth and data-driven decisions.
ROI: Drive 2x–5x Business Growth
We start from SQL and cloud basics. If you can use a computer, you can start this course today.
Location Advantage
Chennai is a major technology hub in India with IT corridors like OMR, Siruseri SIPCOT, Taramani, Guindy, Perungudi, Sholinganallur, and DLF IT Park.
Learn AWS Data Engineering at whichever centre is closest to you: our OMR branch serves students around Sholinganallur, Navalur and Perungudi, Anna Nagar branch are easily reached from Mogappair, Ambattur and central Chennai, our Porur branch covers the Mount-Poonamallee Road stretch, and Medavakkam branch is convenient for Velachery, Tambaram and Chromepet.
GCCs & MNCs · OMR IT Corridor · Siruseri SIPCOT · Startup Ecosystem
GCCs & MNCs
OMR IT Corridor
Siruseri SIPCOT
Startup Ecosystem
If you want to become an AWS Data Engineer, this course provides direct exposure to real-world cloud data workflows.
You will learn data ingestion, pipeline orchestration, big data processing, and cloud data warehouse design. You will work with live AWS environments, build automated pipelines, and create systems that support enterprise analytics.
AWS Glue
Data Pipeline Design
Big Data Processing
Data Lake Architecture
Data Warehousing
Cloud Security
The curriculum prepares you for specific roles across industries and specializations in AWS data engineering.
AWS Data Engineer
ETL Developer
Big Data Engineer
Cloud Data Architect
Data Warehouse Engineer
Analytics Engineer
BI Data Engineer
Tools & Projects
You will master the following software applications used by industry professionals every day.
AWS Glue
Redshift
EMR
Kinesis
S3
Build and orchestrate serverless ETL pipelines across data lakes and warehouses.
Design and query large-scale cloud data warehouses used for enterprise analytics.
Process and analyze large-scale datasets using distributed computing on managed clusters.
Build real-time data streaming pipelines for immediate data processing and analytics.
Store and manage massive volumes of structured and unstructured data.
Design efficient schemas and write optimized queries for cloud data warehouses.
Full Curriculum
Comprehensive, hands-on curriculum covering every tool and technique you need to become a job-ready AWS data engineer.
Foundation
SQL
AWS Glue
Data Lake
EMR & Spark
Redshift
Kinesis
Data Governance
Monitoring
Capstone Project
Hands-On Learning
You will build a portfolio with five practical projects that showcase your skills to employers across industries.
5 Industry-Grade Projects
Real Projects
Industries
Hands-On
Build an automated ETL pipeline using AWS Glue to catalog, transform, and load data.
Crawler Configuration
ETL Job Design
Trigger Scheduling
AWS Glue
S3
Redshift
Project 01
Process and analyze large-scale datasets using Amazon EMR and Apache Spark.
Cluster Configuration
Spark Query Optimization
Cost Optimization
EMR
Spark
Python
Project 02
Design and load a cloud data warehouse using Amazon Redshift for enterprise analytics.
Warehouse Design
Data Loading Automation
Query Optimization
Redshift
SQL
S3
Project 03
Build a real-time data ingestion pipeline using Amazon Kinesis for streaming analytics.
Stream Architecture
Firehose Configuration
Real-Time Dashboard
Kinesis
Lambda
S3
Project 04
Design a secure, well-governed data lake with access controls and quality checks.
Data Lake Architecture
Access Control Design
Quality Validation
S3
AWS Lake Formation
Glue
Project 05
Your Future Starts Here
Validate your skills with industry-recognized certifications and unlock rewarding career paths in AWS data engineering.
When you complete the program, you receive a Course Completion Certificate and a Project Certification that validates your practical experience, along with guidance for the AWS Data Engineer Associate exam.
Certificate
Certification
Industry Recognized
LinkedIn Shareable
Verifiable Online
Explore the roles you can pursue after completing this program.
Designs, builds, and maintains scalable data pipelines using AWS's data engineering stack.
AWS Glue
Redshift
EMR
S3
B.E./B.Tech
BCA
MCA
B.Sc Computer Science
B.Sc IT
Designs and maintains ETL workflows that load, transform, and validate enterprise data.
AWS Glue
SQL
Data Warehousing
B.E./B.Tech
MCA
B.Sc Computer Science
Engineering Graduates
Builds and optimizes distributed data processing systems using EMR and Spark.
EMR
Spark
Python
AWS
B.E./B.Tech
MCA
M.Sc
Engineering Graduates
Designs secure, scalable data architecture across AWS's data platform services.
AWS
Redshift
S3
Data Modeling
B.E./B.Tech
BCA
MCA
Diploma Holders with IT Experience
Affordable & Flexible
The training fee varies based on the format you select (classroom or online), project access, and placement services. Contact our admissions team directly for current pricing and upcoming batch schedules.
In-person sessions at our Chennai training center with hands-on lab access and peer interaction.
Physical lab & infrastructure
In-person mentoring
Weekend & weekday batches
Attend live instructor-led sessions from anywhere with full access to recordings and materials.
Remote lab access
Live mentor support
Weekend & weekday batches
Customized training programs for teams and organizations with dedicated trainer support.
Custom curriculum design
Dedicated trainer assignment
Group discounts available
Talk to Our Admissions Team
Our Edge
We focus on practical application and job readiness - everything we do is designed to get you hired.
We update our topics to match employer expectations in Chennai, keeping content aligned with the latest industry trends.
You spend your time building real AWS data pipelines, not just reading slides. Every module includes live exercises and case studies.
You learn from professionals who actively work in AWS data engineering roles at leading companies.
We offer classroom training and live online courses with weekday, weekend, and fast-track batch options.
Our dedicated placement team helps connect you directly with hiring companies across Chennai and beyond.
Earn both a Course Completion Certificate and a Project Certification to validate your skills to employers.
Career Transition
Our placement team helps you transition into your new role. We place over 225 students monthly across various experience levels.
Fresh Graduates & Students
ETL Professionals Switching Careers
Professionals Returning from Career Gap
Experienced Engineers Upskilling
Resume Writing Support
LinkedIn Profile Optimization
Mock Interviews with Industry Feedback
Aptitude & Soft Skills Training
Direct Interview Scheduling
Top Employers
Local and global companies regularly hire AWS data engineers in Chennai. Our graduates work at some of the most prominent employers in the industry.
The Aimore Difference
See why thousands of students choose Aimore over traditional training centers.
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Meet the Experts
Our trainers bring real-world industry experience and have helped thousands of students launch successful AWS data engineering careers.
Lead Trainer
Senior AWS Data Engineering Expert
4.9 (386 reviews)
12+ years at TCS and Cognizant specializing in AWS Glue, Redshift, and enterprise data pipelines.
AWS Glue
Redshift
EMR
SQL
Big Data & Streaming
Big Data & Streaming Expert
4.8 (291 reviews)
8+ years at Infosys and Wipro building real-time streaming pipelines and training cross-functional teams.
Kinesis
EMR
Spark
Pipeline Strategy
Cloud Data Engineering
Cloud Data Engineering Mentor
4.9 (423 reviews)
15+ years in data engineering at HCL Technologies, Amazon, with strong focus on AWS cloud pipelines.
AWS Glue
S3
Redshift
Python
All trainers hold certifications from AWS, Microsoft, and Snowflake
Student Reviews
Real stories from real students who transformed their careers with our AWS Data Engineering program.
FAQ
Everything you need to know before enrolling.
Talk to our team directly