AWS Data Engineer Training in Hyderabad

Data Engineers are the Highest-Paid Tech Roles in Hyderabad

Every company in Hi-Tec City and Gachibowli is drowning in data — and they need engineers who can move it, transform it, and make it usable at scale. That's a Data Engineer. And AWS has the most complete data engineering toolkit in the market. That's exactly why our AWS Data Engineer Training in Hyderabad has one of the highest placement rates among all our courses.

Our AWS Data Engineer Online Training in Hyderabad doesn't teach you theory about data pipelines — it puts you inside them. You'll process real datasets using AWS Glue ETL, run analytical queries on Redshift and Athena, handle real-time streaming with Kinesis, and build data lakes with Lake Formation — all on your own AWS account.

By the end of our Best AWS Data Engineer Training in Ameerpet, you'll have a portfolio of 8+ real data engineering projects and the skills to walk into any data engineering interview in Hyderabad with confidence. And our AWS Data Engineer Training with Placement in Hyderabad means we stay with you until you receive and accept an offer.

📌 Prerequisites

Basic computer knowledge is enough. We cover Linux fundamentals from scratch — no prior AWS or cloud experience required.

Also explore: AWS DevOps Training · GCP Data Engineer · AWS Cloud Training

🎯 Who Should Join Our AWS Data Engineer Course in Hyderabad?

Freshers with basic Python / SQL wanting data engineering roles
ETL / BI developers moving to cloud data engineering
AWS Cloud engineers wanting to specialise in data
DBA / Database admins transitioning to cloud data platforms
Anyone preparing for AWS Data Engineer Associate exam
Telugu professionals in USA wanting AWS Data Engineer Online Training with Placement

Full Curriculum

What You Will Learn

15 modules covering every major AWS data engineering service, ending with 3 real-time projects — structured around real job requirements and the AWS Certified Data Engineer – Associate (DEA-C01) exam.

Part 1: Foundations

1

Data Engineering Fundamentals

▼

Role of a data engineer, OLTP vs OLAP
Batch vs streaming, ETL vs ELT
Data lake, data warehouse and lakehouse concepts
File formats: CSV, JSON, Parquet, ORC, Avro

2

Python and SQL for Data Engineering

▼

Python basics, Pandas and working with files and APIs
SQL: joins, aggregations, window functions and CTEs
Data modeling: star schema, snowflake schema, fact and dimension tables

3

AWS Fundamentals for Data

▼

AWS account, regions, AWS CLI
IAM users, roles and policies for data services
VPC basics, security groups and VPC endpoints
KMS encryption and Secrets Manager

Part 2: Data Lake on AWS

4

Amazon S3 Data Lake

▼

Buckets, prefixes and partitioning strategy
Storage classes and lifecycle rules
Raw, processed and curated zones (bronze, silver, gold)
S3 event notifications

5

AWS Glue

▼

Glue Data Catalog and crawlers
Glue ETL jobs with PySpark
Glue Studio visual jobs and job bookmarks
Glue Data Quality
Glue workflows and triggers

6

Amazon Athena and Lake Formation

▼

Querying S3 data with Athena
Partitions, compression and cost optimization
Apache Iceberg tables on S3
Lake Formation permissions, row and column level security

Part 3: Big Data Processing

7

Apache Spark and Amazon EMR

▼

Spark architecture, DataFrames and Spark SQL
EMR clusters, EMR Serverless and EMR on EKS overview
Running PySpark jobs and performance tuning

8

Data Ingestion and Migration

▼

AWS DMS for database migration and CDC
AWS DataSync and Transfer Family
Amazon AppFlow for SaaS data
RDS and DynamoDB as source systems

Part 4: Data Warehousing

9

Amazon Redshift

▼

Redshift architecture, provisioned vs Redshift Serverless
Distribution styles, sort keys and compression
COPY and UNLOAD, loading data from S3
Redshift Spectrum and federated queries
Materialized views and workload management

Part 5: Streaming Data

10

Real-Time Streaming

▼

Amazon Kinesis Data Streams: shards, producers and consumers
Amazon Data Firehose for delivery to S3 and Redshift
Amazon MSK (Managed Kafka) basics
Managed Service for Apache Flink overview
Lambda for stream processing

Part 6: Orchestration, Operations and Analytics

11

Pipeline Orchestration

▼

AWS Step Functions
Amazon MWAA (Managed Apache Airflow): DAGs and operators
Amazon EventBridge for scheduling and events

12

Monitoring, Security and Governance

▼

CloudWatch metrics, logs and alarms for pipelines
CloudTrail auditing
Data governance with Amazon DataZone overview
Encryption, masking and PII handling with Macie

13

CI/CD and Infrastructure as Code for Data

▼

Git and CI/CD for Glue jobs and pipelines
Infrastructure as Code with Terraform or CloudFormation

14

Analytics and AI

▼

Amazon QuickSight dashboards
Amazon SageMaker Unified Studio overview
Amazon Bedrock for AI on data: summaries and natural-language queries

15

Real-Time Projects

▼

Serverless data lake: Raw files in S3 crawled by Glue, transformed with PySpark into Parquet and Iceberg, queried with Athena and secured with Lake Formation
Data warehouse pipeline: CDC from RDS using DMS into S3, loaded into Redshift, orchestrated with MWAA and visualized in QuickSight
Real-time streaming analytics: Clickstream events through Kinesis Data Streams and Firehose to S3 and Redshift, with Lambda processing and CloudWatch alarms

🌎 For Students in USA & Abroad

AWS Data Engineer Online Training — Join from Anywhere

AWS Data Engineering skills are in extremely high demand across USA companies — Glue, Redshift, Kinesis, and Athena are all heavily used in US enterprise data stacks. Our AWS Data Engineer Online Training is structured to help Telugu IT professionals in the USA get certified and move into higher-paying data roles without leaving their current jobs.

Our AWS Data Engineer Training Online batches run on timings that suit American schedules — weekend batches (IST mornings = EST Friday/Saturday evenings) and weekday evening batches (IST 8 PM = EST morning). All sessions are recorded so nothing is missed.

This is not a pre-recorded course. Every session is live with the same trainer. You get the same 8+ real AWS pipeline projects as Hyderabad students. Our Best AWS Data Engineer Online Training includes the same AWS Data Engineer Certification Training Online prep — practice tests, exam strategies, and study materials included.

🕐 Batch Timings for USA Students

Weekend batch — Sat & Sun IST morning (EST Friday/Saturday evening)
Weekday evening — Mon–Fri 8 PM IST (EST morning)
All sessions recorded — never miss a topic
Direct WhatsApp access to trainer between sessions

🇺🇸 Why Professionals Choose Our AWS Data Engineer Online Training with Placement

AWS Data Engineer Associate cert — highly valued by US companies
Live interactive sessions — not YouTube-style recordings
Trainer with real production-level Glue, Redshift, Kinesis experience
Resume building and mock interviews for USA job market
Telugu + English sessions — comfortable for NRI Telugu professionals
Placement support included — resume, mock interviews, referrals

❓ AWS Data Engineer Course Online — Quick FAQ

Can I get placement support from USA?
Resume review and mock interviews are done fully online. Job referrals are for India-based roles, but AWS Data Engineer certification and skills are globally valued.

How do I pay from USA?
Bank transfer or UPI — we'll share payment details on WhatsApp. Message 9885543638 to confirm your seat.

AWS Data Services

Tools & Services You'll Master

Everything covered in our AWS Data Engineer Training Institute in Hyderabad is actively used by companies hiring right now.

ETL & Transformation

AWS Glue Glue DataBrew Glue Studio PySpark Pandas

Storage & Data Lake

Amazon S3 Lake Formation Glue Data Catalog S3 Glacier

Analytics & Querying

Amazon Redshift Amazon Athena Redshift Spectrum QuickSight

Streaming & Events

Kinesis Data Streams Kinesis Firehose Kinesis Analytics AWS MSK

Big Data & Compute

Amazon EMR Apache Spark Apache Hive Presto MWAA (Airflow)

Security & Orchestration

Lake Formation KMS Step Functions CloudWatch IAM

Hands-On Projects

8+ Real Data Pipeline Projects

Every project is modelled on real company architectures — the kind you'll be asked about in Hyderabad and USA data engineering interviews.

🏭

End-to-End ETL Pipeline

Ingest raw CSV/JSON from S3, transform with AWS Glue PySpark jobs, load to Redshift, and visualise in QuickSight — full batch pipeline on real AWS.

⚡

Real-Time Sales Dashboard

Kinesis Data Streams → Lambda → DynamoDB → API Gateway → real-time dashboard. Process 10,000+ events per second.

🏞️

AWS Data Lake Architecture

Design and build a multi-zone data lake (raw → cleansed → curated) with Lake Formation governance, Glue Catalog, and Athena querying.

📈

E-Commerce Analytics Platform

Build a complete analytics platform — order data ingestion, Redshift data warehouse with star schema, Athena for ad-hoc queries.

🔄

Incremental Data Pipeline

Design and implement CDC (Change Data Capture) from RDS MySQL to Redshift using DMS and Glue — incremental loads, not full refreshes.

🌊

Log Analytics with EMR + Spark

Process 100GB+ of web server logs using Apache Spark on EMR, apply sessionisation logic, and store aggregated results in S3 Parquet.

Career Outlook

Data Engineer Salaries in Hyderabad — 2026

Salary data from Hyderabad's tech corridor — Hi-Tec City, Gachibowli, Kondapur, Madhapur, and Ameerpet.

Experience	Role	Hyderabad Salary
Fresher (0–1 yr)	Junior Data Engineer, ETL Developer	₹5–8 LPA
1–3 Years	Data Engineer, Cloud Data Engineer	₹9–15 LPA
3–5 Years	Senior Data Engineer, Data Architect	₹15–22 LPA
5+ Years	Data Engineering Lead, Principal Engineer	₹22–35 LPA

Graduates of our AWS Data Engineer Course in Hyderabad have been placed at Deutsche Bank, Mphasis, HCL, and product companies across Hi-Tec City. See our placement support page for full details.

FAQ

Frequently Asked Questions

What is AWS Data Engineer Training in Hyderabad?+

AWS Data Engineer Training in Hyderabad covers building scalable data pipelines using AWS Glue, Redshift, Athena, Kinesis, EMR, and Lake Formation. Our course at Ameerpet is 100% hands-on — you build 8+ real pipelines on actual AWS accounts. Placement support included until you get placed.

Can I join AWS Data Engineer Online Training in Hyderabad without coding experience?+

Basic Python and SQL knowledge helps, but Module 1 covers both from scratch. Students from non-technical backgrounds across Hyderabad have successfully completed our Best AWS Data Engineer Training in Ameerpet and got placed. No prior AWS experience needed.

What is the duration of AWS Data Engineer Training with Placement in Hyderabad?+

Our AWS Data Engineer Training program is 3.5 months. Weekday batches at our Ameerpet centre take around 3 months. Weekend batches take 3.5 months. Live online batches are available for students across India and USA with the same curriculum and placement support.

Can I join AWS Data Engineer Online Training with Placement from USA?+

Yes! Our AWS Data Engineer Online Training runs on flexible timings suited for USA time zones — weekend batches (IST mornings = EST evenings) and weekday evening batches (IST 8 PM = EST morning). Same trainer, same 8+ real pipeline projects, same placement support as Hyderabad students.

What certifications does this AWS Data Engineer Course in Hyderabad prepare for?+

We prepare you for the AWS Certified Data Engineer Associate — the most relevant certification launched in 2024. We also cover SAA-C03 as a foundation. Study materials, practice tests, and exam strategies included.

What jobs can I get after Best AWS Data Engineer Training in Ameerpet?+

After completing our AWS Data Engineer Training with Placement in Hyderabad, you can target: AWS Data Engineer, Cloud Data Engineer, Data Pipeline Engineer, ETL Developer, Data Platform Engineer. Companies in Hi-Tec City, Gachibowli, and Ameerpet actively hire with salaries from ₹6–35 LPA.

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AWS Data Engineer Training in Hyderabad — Online + Offline · Placement Support Included

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