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This Data Engineering course in association with MITx MicroMasters is designed by top domain experts to help you master core Data Engineering skills like Python, SQL, AWS, Spark, Kafka, etc. through multiple Data Engineering courses & real-time projects. Learn from top faculty at MIT & get MITxMicroMasters certified.
Upskill for Your Dream Job
Learning Format
Online Bootcamp
Live Classes
7 Months
Career Services
by Intellipaat
MITxMicroMasters
Certification
500+
Hiring Partners
500% salary hike received by a working professional post completion of the course*
Fresher earned 30 LPA salary package on completion of the course*
53% of learners received 50% and above salary hike post completion of the program*
85% of the learners achieved their training objectives within 9 months of course completion*
95% learner satisfaction score post completion of the program/training*
Process Advisors
Data Engineering Course Overview
Our Data Engineering course will provide you in-depth knowledge in SQL, Python, data pipelines, data transformation, Spark, and cloud services of AWS and Azure. Multiple Data Engineering courses and real-world projects help you master core concepts & skills like creating production-ready ETL and pulling data from multiple data sources, building cloud data warehouses, Data Modeling, etc.
Free Career Counselling
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About MIT and MIT IDSS
The Institute for Data, Systems, and Society (IDSS) is a cross-disciplinary unit made up of faculty from across the Massachusetts Institute of Technology (MIT). IDSS advances education and research in data analysis, statistics, and machine learning, and applies these tools in collaboration with social scientists, community, and policymakers to address complex societal challenges.
On the completion of this Data Engineer certification program, you will:
To know more about the MIT IDSS, click here
57% Average Salary Hike
$1,28,000 Highest Salary
12000+ Career Transitions
300+ Hiring Partners
*Past record is no guarantee of future job prospects
They design and build complex data pipelines and have expert knowledge in coding using Python, etc. These professionals collaborate and work closely with data scientists to run the code using various tools such as the Hadoop ecosystem, etc.
They are typically the database administrators and are responsible for data management. These professionals have in-depth knowledge in databases, and they also help in business operations.
They are skilled in data warehousing and create dimension models for loading data for large scale enterprise reporting solutions. These professionals are experts in using ELT tools and SQL.
They are responsible for looking after the ETL processes, performance administration, dimensional design, etc. These professionals take care of the full back-end development and dimensional design of the table structure.
They design and define the overall structure of a system with an aim to improve the business of an organization. The job role of these professionals involves breaking large projects into manageable pieces.
SQL
No SQL (MongoDB)
Data Warehousing
OLAP
OLTP
ETL
Python Programming
Hadoop
Spark
Spark Streaming
AWS
Redshift
RDS
EMR
Apache Airflow
S3
S3 Glacier
Glue
Docker
Kubernetes
Python
SQL Basics –
Advanced SQL –
Deep Dive into User Defined Functions
SQL Optimization and Performance
Hands-on exercise:
Writing comparison data between past year to present year with respect to top products, ignoring the redundant/junk data, identifying the meaningful data, and identifying the demand in the future(using complex subqueries, functions, pattern matching concepts).
Learn the big data ecosystem and Apache Spark to load large volumes of data. Work with Spark SQL for querying data and optimizing the same. Build an ETL pipeline to pull the data from different data sources, such as HDFS and S3, and use different format data files, such as csv, txt, json, fixed format, streaming data, etc., to load the data. Work on Spark Cluster using AWS.
Project 1: Data Modeling using Relational Databases
Create a dimensional model with dimension and fact tables. Create database and ETL for data transformation and loading into the dimensional model created. Optimize the ETL process for faster loading of data.
Project 2: Data Modeling using Apache Mongodb
Create NoSQL database and ETL for data transformation and data loading. Model your data in Apache Mongodb as per reporting requirements.
Master the skills of building a highly scalable data warehouse on AWS. Work with Redshift and pull the data from RDS and other media services of AWS using ETL pipeline and load the data into the data warehouse.
Master the skills of building a highly scalable data warehouse on AWS. Work with Redshift and pull the data from RDS and other media services of AWS using ETL pipeline and load the data into the data warehouse.
Learn to schedule, automate, and monitor ETL pipelines with Apache Airflow. Learn and master how to implement data quality checks and processes for running the ETL in a production environment. Understand and create a strong process and architecture to avoid ETL failure due to data quality issues. Learn how to handle ETL failure issues in a production environment.
Implement the concepts learnt in the program and create a highly scalable data warehouse architecture for loading data from different sources and use NoSQL database for query to provide data results asked by the analytics team. Use AWS cluster to deploy your solution data processing.
The application is free and takes only 5 minutes to complete.
Over 20+ live interactive sessions with an industry expert to gain knowledge and experience on how to build skills that are expected by hiring managers. These will be guided sessions and that will help you stay on track with your up skilling objective.
Get assistance in creating a world-class resume & Linkedin Profile from our career services team and learn how to grab the attention of the hiring manager at profile shortlisting stage
Students will go through a number of mock interviews conducted by technical experts who will then offer tips and constructive feedback for reference and improvement.
Attend one-on-one sessions with career mentors on how to develop the required skills and attitude to secure a dream job based on a learners’ educational background, past experience, and future career aspirations.
Guaranteed 3 job interviews upon submission of projects and assignments. Get interviewed by our 400+ hiring partners.
Exclusive access to our dedicated job portal to apply for jobs. More than 400 hiring partners, including leading startups and product companies, are hiring our learners. Mentored support on job search and relevant jobs for your career growth.
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends – the possibilities are endless and our community has something for everyone!
Admission Details
The application process consists of three simple steps. An offer of admission will be made to selected candidates based on the feedback from the interview panel. The selected candidates will be notified over email and phone, and they can block their seats through the payment of the admission fee.
Submit Application
Tell us a bit about yourself and why you want to join this program
Application Review
An admission panel will shortlist candidates based on their application
Application Review
Selected candidates will be notified within 3 days
Admissions are closed once the requisite number of participants enroll for the upcoming cohort. Apply early to secure your seat.
Date | Time | Batch Type | |
---|---|---|---|
Program Induction | 3rd June 2023 | 08:00 PM IST | Weekend (Sat-Sun) |
Regular Classes | 3rd June 2023 | 08:00 PM IST | Weekend (Sat-Sun) |
In this Data Engineer PG program, you will learn multiple Data Engineering courses along with case studies and project work.
Online Instructor-led:
Course 1: Preparatory Sessions — Python and Linux
Course 2: Data Wrangling with SQL
Course 3: Introduction to Data Engineering
Course 4: Big Data Engineering with Apache Spark and Kafka
Course 5: Data Modeling
Course 6: Cloud Data Warehouses
Course 7: Mastering ETL Tool — Informatica
Course 8: Data Engineering on the Cloud
Course 9: Schedule and Automate Data Pipelines with Apache Airflow
Course 10: Data Virtualization and Containerization
Course 11: Capstone Project
At the end of the course you will master the concepts and skills by working on Capstone Projects.
Apart from the live classes, you will have electives in a self-paced format:
Azure Data Factory
Intellipaat’s online Data Engineering courses will validate your skills in the domain and will add value to your resume. The real-life practical applications will help you develop a strong skill set that you can showcase to recruiters. Get the best Data Engineer certification course and excel in your data engineering career.
Data engineering can be called a branch of data science that involves preparing the data to be analyzed by data scientists and data analysts. This online Data Engineer training course includes practically applying data collection techniques and maintaining the organization’s data pipeline systems.
Intellipaat provides career services that include 1:1 mentorship to all the learners enrolled in this top online certification training course. MIT is not responsible for placements and career services.
On the completion of the Data Engineering online course, and the completion of the various projects and assignments in this program, you will receive your certification.
According to Glassdoor, the average annual salary of a certified data engineer in India is ₹850,000.
No, there are no assessments to be performed by you to take up this top Data Engineering course. Anyone who is passionate about learning data engineering and big data engineering is welcome to join our best online courses.
It is recommended that you have a basic level of knowledge in programming or any object-oriented coding language to better understand the Data Engineering concepts.
The top companies hiring data engineers around the globe are as follows:
Yes, you can easily join the Data Engineering courses even if you do not have technical experience or are not from a technical background. However, having knowledge of any object-oriented programming language will be helpful.
The Data Engineering courses come with a duration of six months of live classes and lifelong access to course material. In this tenure, it is suggested that you devote six to seven hours a week to master the Data Engineering concepts taught in the online classes.
Due to the increase in the adoption of digital transformation by companies, domains like data engineering are top in demand. Currently there is a shortage of supply of data engineers and their demand is increasing. Due to this, companies are ready to offer high salaries to the right candidates. Hence, this Data Engineering domain definitely has a bright future.
Intellipaat provides career guidance services such as interview preparatory sessions, industry mentorship and more for all learners enrolled in the Data Engineering courses. MIT is not responsible for placements and career services.
You can expect a salary range of Rs.7-8 lakhs from the job offer. However it totally depends on how you perform in your interview. We have seen our learners achieving up to 30 LPA in salary packages.
We value the candidates who wish to learn but do not have the financial bandwidth to make an upfront payment of the fees. Hence, Intellipaat offers easy No Cost e.m.i option to the candidates.
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