Big Data & Data Engineering
Best AWS Data Engineering Training in Hyderabad
A hands-on AWS Data Engineering course in Hyderabad covering S3, Glue, Redshift, EMR, Athena, Kinesis, Lambda and PySpark. Learn live from working data engineers at our Madhapur classroom or through AWS Data Engineering online training in Hyderabad.
- Training modes
- Live online · Classroom (Madhapur) · Corporate
- Curriculum
- 9 modules, 65 topics
- Before you enroll
- Free demo session with the trainer
- Missed a class?
- Recorded sessions and other live batches
What is AWS Data Engineering?
AWS Data Engineering is the practice of building data pipelines, data lakes and warehouses on Amazon Web Services. As the best AWS Data Engineering training in Hyderabad, our course teaches you to ingest, transform, store and serve data at scale using S3, Glue, Redshift, EMR and Spark, the way real data teams work.
Where AWS Data Engineering is used
Cloud data lakes
Storing raw and processed data in Amazon S3 with Glue Data Catalog and Lake Formation, organised in bronze, silver and gold layers.
ETL and ELT pipelines
Building batch pipelines with AWS Glue, PySpark on EMR and Step Functions that run reliably every day.
Data warehousing
Loading and modelling data in Amazon Redshift for fast reporting and dashboards.
Real-time streaming
Processing events with Kinesis, MSK (Kafka) and Lambda for live monitoring and alerts.
Platforms and tools you will work on
- Amazon S3
- AWS Glue
- Amazon Redshift
- Amazon EMR
- Amazon Athena
- Amazon Kinesis
- AWS Lambda
- AWS Step Functions
- PySpark
- Apache Airflow (MWAA)
Why now
Why learn AWS Data Engineering in 2026
AWS leads the cloud market
Most companies in Hyderabad run data platforms on AWS, so AWS data engineers are in steady demand.
High-paying career path
Data engineering is one of the fastest-growing roles in IT, with strong salaries for cloud skills.
Recognised certification
The course prepares you for the AWS Certified Data Engineer – Associate exam.
Who this course is for
- Fresh graduates who want a data engineering job
- SQL, ETL and BI developers moving to the cloud
- Software engineers and testers changing careers
- Data analysts who want to build pipelines
Before you start
- Basic SQL knowledge
- Basic Python is helpful (we cover what you need)
Tools and technologies you will use
- Amazon S3
- AWS Glue
- Amazon Redshift
- Amazon EMR
- Amazon Athena
- Amazon Kinesis
- AWS Lambda
- AWS Step Functions
- PySpark
- Apache Airflow (MWAA)
What you will be able to do
- Design a data lake on Amazon S3
- Build ETL pipelines with AWS Glue and PySpark
- Model and load data in Amazon Redshift
- Query data with Athena
- Process streaming data with Kinesis
- Schedule and monitor pipelines with Airflow and Step Functions
AWS Data Engineering training institute in Hyderabad
RS Trainings is a AWS Data Engineering training institute in Hyderabad located at Nukala Residency, Madhapur, Hi-Tech City. Our trainers are working AWS data engineers who build cloud data platforms for real clients, so every class is based on current industry practice.
You can join classroom batches at our AWS Data Engineering training center in Hyderabad or attend live AWS Data Engineering online training in Hyderabad from anywhere. Both modes include the same live sessions, hands-on labs, class recordings and trainer support.
Classroom training
- Weekday and weekend batches in Madhapur
- Hands-on lab practice
- Small batches with personal attention
- Real-time project work
Online training
- Live, interactive sessions with the trainer
- Recordings of every class
- Doubt-clearing sessions
- Same projects as classroom batches
Whether you are starting out or moving up in your career, our AWS Data Engineering course in Hyderabad gives you practical skills, real projects and interview preparation. Book a free demo to meet the trainer before you join.
AWS Data Engineering curriculum
9 modules taught with live labs and real-time examples. Each module ends with a practical exercise.
1 Cloud and AWS Fundamentals 8 topics
- Cloud computing basics
- AWS global infrastructure
- IAM users, roles and policies
- AWS CLI and console
- VPC and networking basics
- Cost management and billing
- Data engineering on AWS overview
- Setting up your AWS lab account
2 Python and SQL for Data Engineering 8 topics
- Python data types and functions
- Working with files, JSON and CSV
- Pandas basics
- Boto3 for AWS automation
- Advanced SQL joins and aggregations
- Window functions
- Writing efficient queries
- Hands-on exercises
3 Amazon S3 and Data Lakes 8 topics
- S3 buckets, objects and storage classes
- Partitioning and file formats (Parquet, ORC, Avro)
- Data lake architecture and medallion layers
- Lifecycle policies and versioning
- S3 security and encryption
- AWS Lake Formation basics
- Glue Data Catalog and crawlers
- Data lake best practices
4 AWS Glue and PySpark 8 topics
- Spark architecture and DataFrames
- PySpark transformations and actions
- Glue ETL jobs and DynamicFrames
- Glue Studio visual jobs
- Job bookmarks and incremental loads
- Handling schema changes
- Performance tuning
- Error handling and logging
5 Amazon EMR and Big Data 6 topics
- EMR clusters and EMR Serverless
- Running Spark jobs on EMR
- Hive and Presto basics
- Cluster sizing and cost control
- EMR notebooks
- Integrating EMR with S3
6 Amazon Redshift and Athena 8 topics
- Redshift architecture
- Distribution and sort keys
- COPY and UNLOAD
- Star and snowflake schemas
- Redshift Spectrum
- Querying S3 with Athena
- Performance tuning
- Building reports on Redshift
7 Streaming with Kinesis and Lambda 6 topics
- Batch vs streaming
- Kinesis Data Streams
- Kinesis Data Firehose
- Amazon MSK (Kafka) basics
- AWS Lambda triggers
- Real-time pipeline design
8 Orchestration, Monitoring and DevOps 7 topics
- AWS Step Functions
- Apache Airflow on MWAA
- Amazon EventBridge schedules
- CloudWatch logs and alarms
- Data quality checks
- CI/CD with CodePipeline and Git
- Infrastructure as code basics
9 Real-time Project and Career Preparation 6 topics
- End-to-end AWS data pipeline project
- Project architecture and documentation
- AWS Data Engineer Associate certification guidance
- Resume preparation
- Mock interviews
- AWS data engineering interview questions
Career path after AWS Data Engineering
-
Step 1
Junior Data Engineer / ETL Developer
-
Step 2
AWS Data Engineer
-
Step 3
Senior Data Engineer / Big Data Engineer
-
Step 4
Data Architect / Lead Data Engineer
Roles this course prepares you for
- AWS Data Engineer
- Big Data Engineer
- ETL / Data Pipeline Developer
- Cloud Data Engineer
These skills also open doors to analytics engineering and cloud architecture roles.
Frequently asked questions
Which is the best AWS Data Engineering training institute in Hyderabad?
RS Trainings in Madhapur, Hi-Tech City is a trusted AWS Data Engineering training institute in Hyderabad. Classes are taught live by working professionals, with real-time projects, recordings and placement support.
What is the duration of the AWS Data Engineering course in Hyderabad?
The AWS Data Engineering course in Hyderabad usually takes about 2 to 3 months, depending on weekday or weekend batches. Contact us for the current batch schedule.
Do you offer AWS Data Engineering online training in Hyderabad?
Yes. Our AWS Data Engineering online training in Hyderabad uses live, interactive sessions with the same trainer, curriculum and projects as classroom batches, plus recordings of every class.
Where is your AWS Data Engineering training center in Hyderabad?
Our AWS Data Engineering training center in Hyderabad is at #402, Nukala Residency, Madhapur, Hi-Tech City, Hyderabad 500081.
Do I need AWS experience before joining?
No. We start with AWS and cloud basics. Basic SQL is enough to begin.
Does the course cover AWS certification?
Yes. It prepares you for the AWS Certified Data Engineer – Associate exam.
Will I work on real-time projects?
Yes. Every module includes hands-on labs, and the course ends with an end-to-end real-time project you can add to your resume.
Do you provide placement assistance?
Yes. We help with resume preparation, mock interviews, interview questions and job referrals.
Can I attend a free demo?
Yes. Book a free demo session to meet the trainer and see how classes work before you enroll.
What if I miss a class?
You get the recording of every session, and you can also attend the same topic in another live batch.