Become A Cloud Data Engineer in 6 months

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

Application Deadline: 31st Oct

Program Start Date: 4th November

Apply Now

Note: Fill out the application form.
SOP is mandatory to increase your chances of getting Shortlisted*

100% Assured Placement Support for Premium Users

Exclusive 1:1 SME Call

Hands-on & Community Driven Learning

Capstone Projects & Portfolio building

Our alumni has
been hired by

9.6 LPA

Average CTC

(Acc. to AmbitionBox)

$86.9B

Market by 2027

(Acc. to AIM)

2nd

Top tech Job

(Acc. to Dice)

100% Assured Placement Support

1. Complete your coursework

Complete at least 80% of the course work to get your certificate. Solve real problems faced by top product companies and build Industry relevant projects for your portfolio.

2. Get job-ready with 1:1 Mentorship

Receive personalized help on LinkedIn profile optimization, interview process, mock interviews and salary/offer negotiations

3. Receive job referrals from our Hiring Partners

Get referred for your next job by our mentors, community & hiring partners to get hired at top product companies.

4. Ace your interview & get placed into a Data Engineeing role*

Land your dream job & kickstart a career in Data Engineering

Your Program Mentors

Riya Bansal

Sanket Singh

Ravi Kant

Anjali

Atul Singh

Sumit Jha

Your Guest Mentors

Kunaal Naik

Here’s what you’ll
learn in the program

We meant it when we mentioned "hands-on & community-driven learning." Each theoretical concept is followed by a practical assignment in the form of a mini project, practical exercise, or hands-on work leading to a capstone project.

300+ learning hours

Module 1

Introduction to Data Engineering

You will learn the Comprehensive and holistic overview of the Data Engineering which will further include Understanding job responsibilities, Data roles, Importance of data security, Data Wrangling &its tools Querying and Analysing Data

Module 2

Fundamentals of Cloud

In this module we will go through the fundamental skills that will help you out in the path of becoming Data Engineer. The Module includes Basic of computer Networking, Linux & Shell Scripting, Apache Hadoop, HDFS, Data Lakes, Python Fundamentals,Python for Data Engineer

Module 3

Database for Data Engineers

In this module you will come across huge Databases and SQL,SQL Deep Dive with MySQL, RDBMS, NoSQL with MongoDB

Module 4

Cloud Computation and Services for Data Engineer

In this module you will be learning the basics of AWS, GCP and Azure cloud services, Docker & Kubernetes, ETL Modelling

Module 5

Data Extraction And Migration Tool

In this module you will get hands on experience on tools like Apache Casandra, Apache SQOOP, Apache Kafka, Data Formats, Apache Hive and Data Migration tool for data engineer

Module 6

Data Processing Tool

In this module we will cover the tools needed for the processing of data such as Spark Development, Py Spark which includes PySpark Architecture, PySpark Dataframe, PySpark SQL, Accumulators and Broadcast, serialization Cache, optimization Technique, wide transformations

Module 7

Data Pipeline Automation

In this module we will build the pipeline and understand how data is ingested in it.
Such as Apache Druid,Apache Airflow, Pipeline for Production data, Kafka Connect and Debizium, Azure Synapse & System Designing and building Data Pipelines

Module 8

Final touch up for being a Data Engineer

In this module we will put all the pieces together to understand how a professional Data Engineer works. For instance Tableau and Google Charts,
Data Quality, Big Bucket & Maintenance and debugging

Module 9

Discovering the right Job-Fit

In this module we will understand which job fits best for you. We will help you in Domain Identification, Choosing the Right organisation, Role recognition, Resource Identification ,Setting Preparation and Timelines

Module 10

Getting Interview Ready

Commencing Interview Preparation with the Revision of the old module, understanding the Art of Evaluating Without Burning OutGet Set Go.. by getting prepared for the interview

Download Brochure

Tools you'll learn
in this program

Some of the Projects you will be working on

Build industry-relevant professional projects by using the tools of the trade to crack Cloud Data Engineering jobs at top tech companies

project 1

Build a Data Warehouse for e-Commerce

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

Perform Hive analytics on Sales and Customer demographics data.

project 2

Create A Data Pipeline based on Messaging Using PySpark
Hive

In this PySpark project, you will simulate a complex real-world data pipeline
based on messaging. This project is deployed using the following tech stack -
NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight.

In this Big Data project, we will learn how to implement a Big Data pipeline on
Cloud at scale. You will be using the Covid-19 dataset. This will be streamed in real-time from an external API using NiFi.

Mega Capstone Project

Build a real-time Streaming Data Pipeline using
Flink and Kinesis

In this big data project on AWS, you will learn how to run an Apache Flink
Python application for a real-time streaming platform using Amazon Kinesis.

This Project will simulate real-time accidents data and architect a pipeline that
will help us analyze and take quick actions using AWS Kinesis, Apache Flink,
Grafana, and Amazon SNS.

Certify your learning

Learners who successfully complete our program with content and coursework
will receive a GrowthSchool Certificate as proof of their learning!

What our Happy Learners are saying..

Swarup Kumbhar

Process executive

Whole experience was great. Even after having zero knowledge about the Cloud Data Engineering field, lots of doubts and concepts were cleared.

Deepak Venkatesh

Fresher

Excellent content and a great course to kickstart my Cloud Data Engineering journey.

Manish Pandey

Engineer

Anyone looking to start with Cloud Data Engineering, I would recommend enrolling for course https://learn.growthschool.io/data-engineering-ca from Growth School. I have enrolled for the course and am finding it extremely helpful. It starts with the basic and covers hands on of most cloud data services in Amazon Web Services (AWS)Please feel free to reach out to Surya Saxena or Chetasha Jain if you want to learn more about the course.

Frequently asked questions

What does Personalized Mentorship mean and how will it benefit me?

Personalised Mentors are practising Cloud Data Engineering who will be there with you every step of the way and get you job-ready. They will help you with technical doubts, and debugging and also provide assignment and project feedback to help you improve. They will also guide you with portfolio building and cracking the interviews along with the program mentors. (Please note: This is available as part of the Premium Program)

Who can apply for this Course?

This program is best suited for freshers or professionals with 1-3 years of experience who want to shift into Cloud Data Engineering role. This program will take care of your 0 to 1 journey as a Cloud Data Engineer.

What is the Application process?

This program is exclusively for people who are serious to start their career as a Cloud Data Engineer and can contribute to the community. You can go ahead and apply for the program by filling in the application form. If your application is selected, our team will notify you for a 1:1 call to understand your requirements better. If you are selected in your 1:1, you can pay the fees and start the program

Are there any Pre-requisites for this Program?

A basic understanding of programming languages, preferably Python or Java. Just bring yourself and your hunger to learn!

When do the live Group Calls & Guest Sessions happen?

The live group calls will happen every weekend. The entire program schedule will be communicated once you enroll for the program and during your 1:1s with our admission team.

What if I can’t make the Live Sessions?

Growthschool’s Cloud Data Engineering Career Accelerator Program is designed to work with your schedule.

We strongly encourage you to attend the Live Kick-off call to get a clear understanding of the structure of the program. We also encourage you to attend other live calls, but none of these are compulsory.

Of course, you can always watch the session recordings and participate in discussions or leave your feedback on our community forum.

How much access do I get to the Mentors?

We can’t promise that our mentors will reply to every single message, but they’ll be active during the live sessions and answer any doubts/queries you raise then. You can also approach them for feedback during this time.

How much time can I expect to spend on the Program each week?

At least 10-12 hours per week, for the 24 weeks of the program.

This program is a sprint, and you’ll be asked to execute things as well. The live sessions will be 90 minutes long.

They’ll take place in the evenings (IST). We also offer bonus Guest workshops and Jamming Sessions throughout the program.

What’s included with the Program?

With your tuition, you’ll have lifetime access to all the pre-study material, recordings of the live cohort sessions, guest sessions, and a private online community where you can interact with your batchmates.

You’ll retain access to the program materials and community indefinitely after the program ends.

Is there a Assured Placement Support after this Course?

Getting a job depends on your efforts. If you give your 100% to this program, you will have everything ready to get a job and we will be sharing your portfolio with our partners to assist you. But just the enrolment can’t guarantee a job. We commit to 100% job assistance to you by providing you training in Job interview process, 1:1 mentorship, portfolio building and access to our hiring partners.

When will I get my GrowthSchool Certificate?

Individuals who successfully complete at least 80% of the course work i.e. cover all learning modules & project submissions, are eligible to receive a Certificate of Completion from GrowthSchool vouching for their participation in the course.

What does Community Sessions Include?

Community sessions are lead by Subject Matter Experts (SME’s) which will help you in solving the Assignments and solve your Doubts which might come across while studying from Pre-recorded Videos

For any support, Please mail to hi@growthschool.io. Our Support team will get back to you within 24 hours. The brands and companies that the instructors of Growthschool are working or have worked, have no relation whatsoever with Growthschool.

Refund Policy

Thanks for your interest in GrowthSchool. We ensure to provide an excellent experience and learning to all our users. As with any online purchase experience, some terms and conditions govern the Refund Policy. When you purchase a program on GrowthSchool, you agree to our Terms & Conditions and refund policy.

Our refund policy is as follows:

Once you purchase and make the required or partial payment, there will not be any changes or modifications to the same, nor will there be any refund.

GrowthSchool reserves the right to postpone/cancel the course, change the structure of the course or change the list of speakers. If GrowthSchool cancels the entire course, we'll refund 100% of the course fees to the Subscriber.

Once the program begins, we will initiate no refund if the course timeline is extended.

We will issue no refund if the course commencement date is changed.

No refunds or credits will be available for participants who fail to attend the course.

There will be no refunds if the structure/content of the course is altered.

GrowthSchool reserves the right to revise the terms & conditions of this policy without any prior notice.

The course is non-transferable.

The course cannot be transferred to others in case you are unable to take the course under any circumstances.

ACCELERATE YOUR CAREER IN CLOUD DATA ENGINEERING