Become A Cloud Data Engineer In 6 Months and crack a role at companies like like Microsoft!

Learn from the top 1% in the industry and launch your career in Cloud Data Engineering with hands-on projects & job-ready skills with our in house Placement Assistance.

6 Oct, 2024

Application Deadline

5th Oct, 2024

Base Camp starting on:

Our Mentors have Worked at Top Companies

Your Program Mentors

Riya Bansal

Software Engineer

Sanket Singh

Software Engineer

Sanket Singh

Software Engineer

Sanket Singh

Software Engineer

Sanket Singh

Software Engineer

Who is this Program for?

Freshers in any field

Learn the ins & outs of what life looks like as a Cloud Data En. So you can make an informed decision on further choosing your career path.

Working Professionals

Understand your current skill set and develop the skills required to successfully transition into Data Engineering.

Data enthusiasts with ~7 years of experience

Hone your Data skillset and become valuable for your company.

Anyone curious about what Data Engineers truly do

Any idea what a career in Data Engineering Domain looks like? Learn about Data and Tech in this course.

Learn to use these Tools effectively

Hear it from the Learners

I highly recommend all the product managers to attend his session. His design explanation is bang on and everyone who wants to learn about design thinking should take his session for sure!

Mansi Jain Product Manager

I highly recommend all the product managers to attend his session. His design explanation is bang on and everyone who wants to learn about design thinking should take his session for sure!

Mansi Jain Product Manager

I highly recommend all the product managers to attend his session. His design explanation is bang on and everyone who wants to learn about design thinking should take his session for sure!

Mansi Jain Product Manager

I highly recommend all the product managers to attend his session. His design explanation is bang on and everyone who wants to learn about design thinking should take his session for sure!

Mansi Jain Product Manager

I highly recommend all the product managers to attend his session. His design explanation is bang on and everyone who wants to learn about design thinking should take his session for sure!

Mansi Jain Product Manager

I highly recommend all the product managers to attend his session. His design explanation is bang on and everyone who wants to learn about design thinking should take his session for sure!

Mansi Jain Product Manager

This is What You Will Learn?

Module 1

Introduction to Data Engineering

Gain a foundational understanding of the field of data engineering:
You’ll learn about the roles and responsibilities of a data engineer, the processes involved in data engineering, and an overview of the data engineering landscape

Module 2

Fundamentals of Cloud Computing

Understand the basics and significance of cloud computing in data engineering:
This module covers cloud computing architectures, different types of cloud models (public, private, hybrid), and cloud services (SaaS, PaaS, IaaS). You’ll also explore the applications and future prospects of cloud computing.

Module 3

Linux and Shell Scripting

Acquire practical skills in Linux and shell scripting, essential for data engineering tasks:
You’ll learn Linux basics, shell or terminal commands, bash scripting, and how to schedule and debug scripts using cron jobs.

Module 4

Python Programming

Master Python programming, a critical skill for data engineers:
This module takes you from basic to advanced Python concepts, focusing on aspects relevant to data engineering like data structures, control structures, functions, and libraries like Pandas, Numpy, and Matplotlib/seaborn.

Module 5

Big Data Fundamentals and DBMS SQL:

Understand big data technologies and database management:
You’ll explore Hadoop, HDFS, Data Lakes, and the fundamentals of DBMS and SQL. This includes relational and NoSQL databases, with a focus on MongoDB, and various SQL concepts and functions.

Module 6

NoSQL with MongoDB and Apache Cassandra

Dive into NoSQL databases, their architecture, and use cases:
Learn the differences between SQL and NoSQL, the CAP Theorem, and get hands-on experience with NoSQL databases like Cassandra and MongoDB, including their setup and query execution.

Module 7

Data Extraction and Migration Tools

Learn about tools and techniques for data extraction and migration:
This module covers various data formats and tools for data extraction and loading, with practical demos on several databases and data platforms.

Module 8

Data Migration Tool for Data Engineer

Gain expertise in data migration tools across different cloud platforms:
You’ll learn about cloud services from AWS, GCP, and Azure, and work on a mini-project to build a data warehouse, applying your knowledge of data migration tools

Module 9

Cloud Computation and Services for Data Engineer

Understand cloud services and their application in data engineering:
This module covers CI/CD pipelines, containerization with Docker and Kubernetes, ETL modeling, and data processing frameworks, providing a comprehensive view of cloud services in data engineering.

Module 10

Data Pipeline Automation

Master the skills to automate data pipelines:
This module covers the entire data workflow process, including data ingestion, processing, transformation, storage, and export. You’ll also learn about orchestration, data quality, visualization, and monitoring.e roles and responsibilities of a data engineer, the processes involved in data engineering, and an overview of the data engineering landscape

Module 11

Final Touch-Up for Being a Data Engineer

Prepare for real-world data engineering roles:
Focus on monitoring and managing data pipelines, ensuring data quality, and undertaking a major project to build a real-time data pipeline, solidifying your practical skills.

Module 12

Discovering the Right JobFit

Equip yourself with the knowledge to find the right job in data engineering:
This module helps you identify suitable roles, prepare for interviews, and understand the job market for data engineers.

Module 13

Final Touch-Up for Being a Data Engineer

Getting Interview ready:
Commencing Interview Preparation Revision is Underrated The Art of Evaluating Without Burning Out

Mini Capstone 1: Simulate eCommerce logs for analytical pipelines.

This project has Batch and Real-time pipelines. Batch analyzes user behavior using Azure services for insights like visitor trends and marketing opportunities. Real-time focuses on quick threat detection using Azure tools for security against attacks like DDoS and Bots.

Mini Capstone 2: Building a Data Warehouse for E-commerce

In this Hive project, the objective is to design a data warehouse for an e-commerce application and perform Hive analytics on Sales and Customer Demographics data using big data tools such as Sqoop, Spark, and HDFS.


Major Capstone: Replicate on-premise IoT data migration.

In the 1st part of this project, we'll use AWS CDK and services like IoT Core, Kinesis Firehose, Lambda, S3, EC2, MariaDB, and Secrets Manager to simulate an On-Premise Data Center with real-time IoT data. The follow-up project involves migrating and analyzing this data to "AWS Cloud Premise" via DMS, RDS, Glue, TimeStream, and QuickSight. The third project delves deeper into Infrastructure-as-a-Code (IaC) concepts, focusing on AWS CDK (Cloud Development Kit).

Learn and Navigate through the future - Use AI to your advantage

Exclusive Module on Leveraging AI & ChatGPT as a Data

By the end of the program you’ll have:

Start your Journey

Make your 0-1 journey in Data engineering, with opportunities to work through real-world Data problems.

Improve Your Skills

With improved problem-solving skills, break down complex business problems into structural components and come up with solutions that create a massive impact.

Better Understanding

Increased understanding of the Data & Tech industry through insights from the mentors as well as the community.

Crack Interviews

Crack case interviews at top companies as a Data Engineer with the right strategies and approach to follow.

How the Journey looks?

OurProgram is an invite-only 6 Month immersive cohort-based program with a lifelong community to help you achieve your goals and build relationships.
Application Process
Fill out the application form to apply for the Data engineering Program.
01
Application Review

Experts review each application selecting only the people who are aligned with our goal and values. 

02
Selection
Successful candidates will receive an email.
03
Fellowship Kick-off & Onboarding

Welcome to the 6 months of madness, to learn, and hit your goals.

04
Build Relations

Meet & network with your fellows.

05
Writer Guidelines

Celebrate your achievements and learnings with the community.

06

By the end of the program you’ll have:

Monthly Welcome Brunch

Join the Inner Circle! Connect, share, and build connections over great food—monthly in your city.

Community Events

Learn directly from leaders, ask tough questions, and expand your horizons at these offline events.

Offline Graduation Ceremony

Celebrate in Style! Mark your achievements with a graduation ceremony to remember.

Before you ask!

Yes! You will be certified with not one but two certificates post-completion.

Validate your learning

Receive an official certificate signed by your mentor vouching that you’ve completed the course and validate your learning with shareable proof.

Show it off!

Flaunt your GrowthSchool Certificate on your CV or your LinkedIn and wow prospective employers.

Ready To Become an In-Demand Data Engineer?

Offerings

Premium

Elite

FAQs: Here’s everything you may ask...

Data Engineer  roles require basic technical skills hence people coming from any profession like Sales, Marketing, Software Engineers/Developers/QAs, Analysts (Data/Business) and many others already possess some foundational soft skills that are transferable for a Data Engineer role.

This is an exclusive program open to only 100 serious candidates. Hence, just like a typical hiring process in a company we have a thorough qualification process as well:- It starts with an elaborate application form where we gauge the background and intent of the candidate- If you fill the form completely, you are then scheduled for a qualifier interview to understand where you are in your career journey and how we can help accelerate that. You will pass the interview if you are proactive, enthusiastic and serious about the transition.- We also have limited scholarships for those affected by layoffs.

This program has a basic requirement to know the languages like Python and SQL (only overview). Just bring yourself and your hunger to learn!

No, there is no job guarantee from our end. We provide job assistance which includes:- Building your portfolio with minimum 3 unique projects- Interview Preparation through 1 on 1 with Mentors (If taken) + Practice Questions- Access to our community of Mentors and learners for scoring referrals.- Passing your profile to potential hiring managers and partners.

Data Engineer  roles require basic technical skills hence people coming from any profession like Sales, Marketing, Software Engineers/Developers/QAs, Analysts (Data/Business) and many others already possess some foundational soft skills that are transferable for a Data Engineer role.

This is an exclusive program open to only 100 serious candidates. Hence, just like a typical hiring process in a company we have a thorough qualification process as well:- It starts with an elaborate application form where we gauge the background and intent of the candidate- If you fill the form completely, you are then scheduled for a qualifier interview to understand where you are in your career journey and how we can help accelerate that. You will pass the interview if you are proactive, enthusiastic and serious about the transition.- We also have limited scholarships for those affected by layoffs.

This program has a basic requirement to know the languages like Python and SQL (only overview). Just bring yourself and your hunger to learn!

No, there is no job guarantee from our end. We provide job assistance which includes:- Building your portfolio with minimum 3 unique projects- Interview Preparation through 1 on 1 with Mentors (If taken) + Practice Questions- Access to our community of Mentors and learners for scoring referrals.- Passing your profile to potential hiring managers and partners.

Embrace the Success

Take a First Step