AWS Data Engineer Course — Built on Real AWS, Not Slides

Open ten data engineer job descriptions in India and count how many name S3, Glue, Redshift, EMR, or Kinesis. Usually eight or nine. AWS is where Indian data teams actually run — at Flipkart, Swiggy, Razorpay, Barclays GCC, JPMorgan and most of the startups in between. This course puts you inside a real AWS account from week one: you build pipelines, break them, fix them, and leave with deployed projects an interviewer can open and inspect.

Live Online · All IndiaMax 10/BatchStarts ₹35,000Maps to DEA-C01

Enroll Now — New Batch Starting Soon

9 of 10

Indian DE job posts name AWS services

₹12–22L

Mid-level AWS DE range (product/GCC)

2 + 2

Months — Foundation, then Advanced

Pipelines deployed on your own AWS

The AWS services you will actually run

Plenty of courses list twenty AWS services on a slide and touch none of them. We go the other way: a shorter list, each one used in a project you deploy yourself. These are the services that appear by name in Indian data engineering job descriptions.

S3 + Glue

Storage and serverless ETL

The backbone of nearly every AWS data platform in India. You build Glue jobs that crawl, catalog, and transform raw data landing in S3 — the exact workflow TCS, Cognizant, and product-company data teams run daily.

Redshift

Warehousing done properly

Star schemas, slowly changing dimensions, distribution keys, and why a bad sort key makes a 2-second query take 4 minutes. You load and query a warehouse you designed, not one handed to you.

EMR + Athena

Big data and serverless SQL

Spark on EMR for heavy lifting, Athena for querying data lakes without servers. Level 2 territory — this is the pairing GCC interviews probe when they ask how you would process a billion rows a day.

Kinesis + Lambda

Streaming and event-driven

Real-time pipelines: events in through Kinesis, transforms in Lambda, results landing in S3 and Redshift. Paired with Kafka in Level 2 so you understand both the AWS-native and open-source ways to stream.

Two levels — from first bucket to production pipelines

Same structure as our full data engineering program, viewed through the AWS lens. Level 1 gets you hired into your first data role. Level 2 is what the ₹18L+ interviews test.

level-1-foundation.md

Level 1: Foundation on AWS

32 Hrs · 2 Months · 16 Classes │ ₹35,000

You start with zero cloud experience. Week one, you create your AWS account and set billing alarms so practice never costs real money. By month two you have built end-to-end ETL in Python, loaded a Redshift warehouse, and deployed two projects that live at a URL — not in a folder on your laptop.

Curriculum

SQL — JOINs, Window Functions, CTEs, Execution Plans (PostgreSQL)

Python for DE — Pandas, REST APIs, SQLAlchemy, error handling

Linux & Git — bash scripting, cron, branching, GitHub portfolio

ETL Pipelines — CSV, JSON, Parquet, end-to-end in Python

AWS — IAM, S3, EC2, RDS, Lambda, Glue

Data Warehousing — star schema, SCDs, Redshift

Power BI & Tableau — dashboards from warehouse tables

2 Capstone Projects on AWS + Mock Interviews

level-2-advanced-genai.md

Level 2: Advanced AWS + Gen AI

48 Hrs · 2 Months · 16 Classes │ ₹70,000

This is where the DEA-C01 mapping gets dense: Glue at depth, EMR, Athena, Kinesis, KMS security — alongside the open-source stack every AWS shop pairs them with. Spark optimisation, Kafka streaming, Airflow orchestration, Databricks, Snowflake, and Terraform to provision all of it as code.

Curriculum

Apache Spark & PySpark — Spark SQL, joins, optimization, AQE

Apache Airflow — DAGs, scheduling, SLA monitoring

Apache Kafka — streaming, Schema Registry, CDC with Debezium

Spark Structured Streaming — real-time Kafka → Delta Lake

Advanced AWS — Glue, EMR, Athena, Kinesis, KMS security

Databricks — Delta Lake, medallion architecture, Unity Catalog

Snowflake — Snowpipe, time travel, Snowpark

dbt — models, tests, incremental, auto-docs

Docker + Terraform — containers + IaC

CI/CD + Data Quality — GitHub Actions, Great Expectations

Governance — DPDP Act, GDPR, PII masking, Iceberg

System Design — 1B+ rows/day, capacity estimation

Gen AI — vector databases, RAG pipelines, feature stores

2 Production Projects + Senior Interview Prep

About the DEA-C01 certification — the honest version

AWS Certified Data Engineer – Associate (DEA-C01) is the certification Indian recruiters increasingly filter for on AWS data roles. Here is exactly how this course relates to it, with no marketing fog.

Covered

The exam domains, hands-on

DEA-C01 tests data ingestion and transformation, data store management, operations, and security. Level 2 covers each of these on real AWS — Glue, EMR, Kinesis, Redshift, KMS — so the exam content is work you have already done, not theory you memorised.

Guidance

Prep, not empty promises

We walk you through the exam structure, question style, and which practice resources are worth paying for. What we do not do: guarantee a pass, or pretend a course completion certificate is the same thing as the AWS credential.

You book it

Directly with AWS

The exam is booked and paid by you through AWS — that is how it works for everyone, at every institute. Anyone bundling the "certification" into their fee is bundling an exam voucher at best. Read the fine print before you pay anyone for this.

Worth it?

Usually, yes — after projects

A cert with no projects reads as paper. Projects with no cert pass most interviews anyway. Both together is the strongest resume line. Build first, certify second — that is the order we coach.

What AWS skills are worth in the Indian market

AWS-specific data skills carry a visible premium because job descriptions filter for them by name. The ranges below reflect what we see across Glassdoor data and our students' offers — segment matters more than city.

IT services, AWS data projects — ₹5–9 LPA entry

Genpact, TCS, Wipro, Infosys staff large AWS migration and pipeline projects. The interview bar is SQL, Python, and core AWS — exactly Level 1. The most reliable first rung for freshers and career switchers.

Product companies — ₹12–25 LPA mid-level

Flipkart, Swiggy, Razorpay, Meesho run their platforms on AWS and test Spark optimisation, streaming, and warehouse design on it. Level 2 territory. The jump from services to product is the single biggest salary move in this career.

GCCs — ₹14–30 LPA with governance skills

Barclays, JPMorgan, AmEx GCCs pay the premium for engineers who know AWS plus the compliance layer — KMS, PII handling, DPDP Act. We teach that layer because most institutes skip it and GCC recruiters filter for it.

DEA-C01 holders — a filter advantage, not magic

The cert gets your resume past keyword screens and signals seriousness. It does not replace projects. Certified candidates with deployed pipelines get the interviews; certified candidates with nothing deployed get polite rejections.

What it costs

One price across India. Live online, weekday evening and weekend morning batches. 0% EMI available.

Level 1

Foundation on AWS

₹35,000

2 Months · 16 Classes · 32 Hrs

SQL, Python, IAM, S3, Glue, Redshift
2 projects deployed on AWS
Resume + mock interviews
1-year placement support

Level 2

Advanced + Gen AI

₹70,000

2 Months · 16 Classes · 48 Hrs

EMR, Athena, Kinesis, KMS + Spark, Kafka, Airflow
Databricks, Snowflake, dbt, Terraform, CI/CD
Gen AI + System Design
DEA-C01 prep guidance + salary negotiation

Questions people ask before joining

Is this an official AWS certification course?

No, and be careful with anyone who claims theirs is. AWS does not license training institutes to hand out its certifications — you always book the exam yourself through AWS. What we do: teach you data engineering on real AWS accounts, map the Level 2 syllabus to the DEA-C01 (AWS Certified Data Engineer – Associate) exam domains, and give you cert prep guidance so the exam feels like a review of work you have already done, not a cram.

Should I learn AWS or Azure for data engineering in India?

AWS gives you the widest coverage of Indian job postings — product companies, startups, and most GCCs run on it. Azure dominates in Microsoft-heavy shops and parts of Hyderabad. The honest answer: the concepts transfer. If you learn S3, Glue and Redshift properly, picking up ADLS, Data Factory and Synapse later is weeks, not months. We teach AWS deeply plus Databricks and Snowflake, which run on both clouds.

Do I need to know AWS before joining?

No. Level 1 starts with IAM and S3 from zero — creating your account, setting up billing alerts, understanding what a bucket actually is. By the end of Level 1 you have deployed two working pipelines on AWS. By the end of Level 2 you are running Glue jobs, EMR clusters, and Kinesis streams like it is routine.

How big an AWS bill will I run up while practicing?

Small — usually a few hundred rupees across the whole course. We build on the free tier wherever possible, teach you to shut down resources after every practice session, and set up billing alarms in week one. Learning to keep cloud costs down is itself a skill interviewers ask about.

Which companies in India hire AWS data engineers?

Most of the Indian data market runs on AWS. Product companies: Flipkart, Swiggy, Zomato, Razorpay, CRED, Meesho. GCCs: Barclays, JPMorgan, Goldman Sachs, American Express. IT services: TCS, Infosys, Wipro, Cognizant all staff AWS data projects. Glue, Redshift, Kinesis and EMR show up by name in their job descriptions — which is exactly why the curriculum is built around them.

What is the fee and duration of the AWS data engineer course?

Level 1 Foundation: ₹35,000 for 2 months (16 classes, 32 hours) — SQL, Python, core AWS, ETL, Redshift warehousing. Level 2 Advanced: ₹70,000 for 2 months (16 classes, 48 hours) — Spark, Kafka, Airflow, advanced AWS, Databricks, Snowflake, Terraform, plus DEA-C01 prep guidance. 0% EMI available. Live online, max 10 per batch, 1-year placement support.

AWS is named in the job description. Make sure it is real on your resume.

Recruiters can tell the difference between "familiar with AWS" and four pipelines deployed on it. This course gets you to the second one.

Enroll Now — Batch Starting Soon

shifttotech.co.in · Learning@shifttotech.co.in · All India · Live Online

AWS Data Engineer Course — Built on Real AWS, Not Slides

The AWS services you will actually run

Two levels — from first bucket to production pipelines

Level 1: Foundation on AWS

Curriculum

Level 2: Advanced AWS + Gen AI

Curriculum

About the DEA-C01 certification — the honest version

What AWS skills are worth in the Indian market

IT services, AWS data projects — ₹5–9 LPA entry

Product companies — ₹12–25 LPA mid-level

GCCs — ₹14–30 LPA with governance skills

DEA-C01 holders — a filter advantage, not magic

What it costs

Foundation on AWS

Advanced + Gen AI

Questions people ask before joining

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