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
Note: Fill out the application form.
SOP is mandatory to increase your chances of getting Shortlisted*
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
9.6 LPA
Average CTC
(Acc. to AmbitionBox)
$86.9B
$86.9B
Market by 2027
(Acc. to AIM)
2nd
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
Software Engineer
Sanket Singh
Software Engineer
II
II
Your Guest Mentors
Ravi Kant
Sr. Software Engineer
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
Basic Skill of Data Engineer
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
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
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
.png)
%201%20(1)%201.png)
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
Building a Data Lake Architecture
- In this project, we have to design and build a data lake architecture using open source tools and cloud services. The data lake will be capable of ingesting, processing, storing, and analyzing large amounts of structured and unstructured data. The architecture will be designed should be scalable
project 2
Data Extraction from Online Retailer
- Build project to extract data from an online retailer's website using web scraping techniques. The data will be collected from the retailer's product listings and reviews.
project 3
Analysis of Bike Sharing System Data using PySpark
- The project aims to analyze bike sharing system data using PySpark. The data is from a bike sharing system that tracks the number of bikes rented and returned, the duration of the rental, and other relevant information. The data is in a CSV file format, and the project will use PySpark to process and analyze the data.
Project 4
Implementing an Analytic platform
- To build a real-time analytics platform using Apache Druid that can handle large volumes of data and provide fast query performance.
- Project Requirements:
- Data source (e.g. Kafka, Amazon Kinesis, Apache Flink)
- Apache Druid cluster (with Zookeeper and Coordinator)
- Data loading and ingestion tool (e.g. Tranquility)
- Data schema design
- Querying and visualisation tool (e.g. Superset)
Mega Capstone Project
Developing a E-commerce sales data pipeline:
- Build a data pipeline that can collect and process sales data from different sources such as point-of-sale systems, e-commerce websites, and inventory management systems. The pipeline should be able to perform data integration, data cleansing, and data transformation to create a single source of truth for sales data
Certify your learning
Learners who successfully complete our program with content and coursework
will receive a GrowthSchool Certificate as proof of their learning!
will receive a GrowthSchool Certificate as proof of their learning!
.jpg)
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.
Program Fee
Starter
Premium
Program Fee
₹50,000 (GST incl.)
₹85,000 (GST incl.)
Weekly Program Modules
Program Workbooks
Weekend Live calls
4 Mini Capstone+1 Major Capstone Projects
Premium Discord community
Live Personalized project reviews
Mock interview
Interview guidance
Community sessions with SME for Assignment Review
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.
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.
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.
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
© 2023 Sisinty Pvt. Ltd. All rights reserved.
ACCELERATE YOUR CAREER IN CLOUD DATA ENGINEERING
.svg)