Build a rock-solid foundation in traditional data systems and seamlessly scale into the cloud with AWS. This course equips you with real-world skills in Hadoop, Hive, Spark, and AWS services—making you job-ready for hybrid data engineering roles.
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Build a rock-solid base with Linux, Hadoop, and Shell scripting — the essentials every data engineer must master.
Seamlessly transition to cloud with hands-on experience in AWS services like S3, EMR, Redshift, and Glue.
Work on industry-level projects that mirror real job challenges and build the confidence to deliver in the field.
Receive end-to-end career support including resume building, mock interviews, and job referrals until you're placed.
What is Data Engineering?
Role of a Data Engineer
On-Premise vs Cloud Architecture
Data Pipeline Overview
Linux Commands for Data Engineers
File Permissions, Directory Management
Shell Scripting Basics
Automating Tasks with Bash
HDFS Architecture & Setup
MapReduce Fundamentals
Hive & HiveQL
Pig – Data Flow Language
Sqoop – Import/Export from RDBMS
Introduction to Spark
RDDs, DataFrames, and Datasets
Spark SQL
Spark Streaming (Real-Time Processing)
Integration with Had
AWS Overview & Free Tier Setup
IAM, EC2, and S3 Basics
Security Groups, Key Pairs
CLI Access to AWS Services
Using S3 for Data Lake Storage
EMR Cluster Setup & Hive on EMR
AWS Glue – ETL Service
Redshift – Data Warehousing
Lambda for Automation
Covers both traditional systems and modern cloud—giving you a unique edge
Highly relevant to real-world enterprise environments
Increasing demand for hybrid-skilled engineers in the job market
Learn tools used by top companies across the globe
Ensures you’re not limited to a single tech stack—become truly versatile
Individuals with +3 Years aiming to break into Data Engineering
Professionals from non-tech backgrounds looking to switch
ETL/SQL/Hadoop/Testers/Admins/Operations Developers aiming to upskill
Data Analysts & Data Scientists wanting deeper engineering knowledge
Working professionals aiming to master cloud data stacks
Understand the core concepts of data engineering
Master on-premise tools like Linux, Hadoop, Hive, and Spark
Learn AWS cloud services relevant to data pipelines
Build and deploy hybrid (on-prem + cloud) data pipelines
Solve real-world problems using end-to-end data workflows
Become interview-ready for data engineering roles
Live, Interactive Digital Board Sessions with Hands on Pipeline Building, with industry experts
Access to recorded sessions for revision
Real-time doubt-clearing and one-on-one mentorship
Hands-on projects using Hadoop, Spark, and AWS
Resume building, LinkedIn optimization, and mock interviews
Placement assistance until you get hired
Course completion certificate
"The live sessions are interactive and easy to follow. The mentors explain everything with great clarity"
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