Quick2Learn EdTech educational background showcasing students learning technology skills
Quick2Learn EdTech educational background showcasing students learning technology skills
Quick2Learn EdTech educational background showcasing students learning technology skills
Quick2Learn EdTech educational background showcasing students learning technology skills
Quick2Learn EdTech educational background showcasing students learning technology skills

Data Engineer

Cloud Data Engineering, mastering Big Data analytics tools, and ensuring job readiness.

Tech Stack

Python, SQL, Spark, Kafka, Hadoop, Azure, AWS, GCP

Course Duration

5 months | Level: Advanced

Course Fee

₹58,500 (Including all materials and support)

Placement Support

Mock interviews, portfolio creation, and job placement assistance

Live Classes

Mondays & Wednesdays, 8 PM IST

Expert Instructors

Rajesh Kumar, Deepa Selvam

Program Details

Technology Stack

Python, SQL, Spark, Kafka, Hadoop, Azure, AWS, GCP

Language

English & Tamil

Learners

600+

Duration

Weekdays: 5 Months | Weekend: 7 Months

Program Overview & Features

Comprehensive program designed to transform your skills with industry-relevant curriculum

180 Hours of Training

8 Modules, 10+ Industry Projects

30+ Case Studies, 50+ Assignments

1:1 Expert Mentorship

Lifetime access to recordings

Helps prepare for AWS and GCP certifications

About Data Engineering Stack

1

Cloud Essentials

Fundamentals of Cloud Computing with Azure, AWS, and GCP platforms for data engineering.

2

Hadoop Framework

Hadoop Ecosystem and Architecture for distributed data processing and storage.

3

Apache Spark

Spark Architecture and Programming for large-scale data processing and analytics.

4

Big Data Tools

MongoDB, Apache Kafka, and Apache Hive for data warehousing and stream processing.

Course Syllabus

Comprehensive curriculum for Data Engineer

1

Fundamentals

3 weeks
Database Management with MySQL
Data Structures
Data Manipulation
Python Libraries (Pandas, NumPy)
2

Module 1: SQL Queries & Relational Database Management

3 weeks
Advanced SQL
Relational Database Management
3

Module 2: Cloud Essentials & Big Data in Azure

3 weeks
Cloud Essentials
Fundamentals
Big Data in Azure
4

Module 3: Hadoop Framework & Architecture

2 weeks
Hadoop Framework
Architecture
5

Module 4: Apache Spark Architecture & Programming

3 weeks
Apache Spark Architecture
Programming
6

Module 5: MongoDB for Developers & Admins

2 weeks
MongoDB for Developers
MongoDB for Admins
7

Module 6: Apache Kafka Basics

2 weeks
Apache Kafka Basics
8

Module 7: Apache Hive for Data Warehousing

2 weeks
Apache Hive
Data Warehousing
8

Total Modules

18

Topics Covered

100%

Hands-On Learning

Tools Covered

Python logo - Technology tool covered in Quick2Learn EdTech courses
Python
Pandas logo - Technology tool covered in Quick2Learn EdTech courses
Pandas
NumPy logo - Technology tool covered in Quick2Learn EdTech courses
NumPy
MySQL logo - Technology tool covered in Quick2Learn EdTech courses
MySQL
MongoDB logo - Technology tool covered in Quick2Learn EdTech courses
MongoDB
Hadoop logo - Technology tool covered in Quick2Learn EdTech courses
Hadoop
Apache Spark logo - Technology tool covered in Quick2Learn EdTech courses
Apache Spark
Apache Kafka logo - Technology tool covered in Quick2Learn EdTech courses
Apache Kafka
Apache Hive logo - Technology tool covered in Quick2Learn EdTech courses
Apache Hive
Azure logo - Technology tool covered in Quick2Learn EdTech courses
Azure
AWS logo - Technology tool covered in Quick2Learn EdTech courses
AWS
GCP logo - Technology tool covered in Quick2Learn EdTech courses
GCP

Hackathon Projects

Build real-world applications that showcase your skills

1

Industry Project 1: Real-time Data Pipeline

2

Industry Project 2: Big Data Analytics Platform

3

Industry Project 3: Cloud Data Warehouse Setup

4

And 7+ more industry projects

Market Overview & Eligibility

Average Salary in India

4-5 LPA

(Average salary for Data Engineers)

Eligible Roles

  • Data Engineer
  • Big Data Engineer
  • Cloud Data Engineer
  • ETL Developer
  • Data Pipeline Engineer
  • Data Architect

Who Should Enroll

  • Aspiring Data Engineers
  • Software Engineers
  • Database Administrators
  • IT Professionals
  • Recent Graduates

Your Learning Journey

A step-by-step roadmap to master this course

Step 1

Database Fundamentals

MySQL, Python, data manipulation

Step 2

Cloud Platforms

Azure, AWS, GCP essentials

Step 3

Big Data Tools

Hadoop, Spark, Kafka

Step 4

Data Warehousing

Hive and data warehousing

Step 5

Projects

10+ industry projects

Step 6

Certification

AWS and GCP prep

Course Completion
6

Learning Steps

5

Weeks of Content

Lifetime Access

Course Fee

Registration Fee

₹10,000

Tuition Fee

₹58,500

Total Fee

₹68,500
Best Value

Note: Registration fee is Non-Refundable. It is refundable only if your profile is rejected during the Quick2Learn EdTech Initial Screening Process.

Data Engineer