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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
No Cost EMI Starts
at ₹8,000/month*
Our Data Engineering course will provide you with 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
45 LPA 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 of 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 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
Introduction to SQL
Database Normalization and Entity Relationship Model
SQL Operators
Join, Tables, and Variables in SQL
Deep Dive into SQL Functions
Subqueries in SQL
SQL Views, Functions, and Stored Procedures
User-defined Functions in SQL
SQL Optimization and Performance
SQL Parsing
Managing Database Concurrency
Python Basics
OOPs Concept
NumPy
Pandas
Data Visualization
File Handling
Exception Handling
Regular Expressions Fundamentals
Introduction to Linux
File System Navigation
File and Text Manipulation
User and Group Management
Process Management
System Configuration and Networking
System Monitoring and Logging
Shell Scripting
Security and Permissions
Advanced Linux Commands
Introduction to Data Warehousing
Data Cleaning Techniques
SQL Connectors and Data Integration
Building Data Pipelines
Data Quality and Governance in Data Warehousing
Performance Optimization in Data Warehousing
Emerging Trends in Data Warehousing
Basic Concepts of Data Modelling
Business Data Requirements – Entities and Classes
Business Data Requirements – Attributes
How To Link Things Together – Relationships
Requirements Analysis
Conceptual Data Modeling
Logical Data Modeling
Physical Data Modelling
Data Modelling Tools and Techniques
Data Modelling Documentation and Communication
Introduction to Hadoop Ecosystem
HDFS (Hadoop Distributed File System)
Apache Hive for Data Warehousing and Querying
Apache Impala for High-Performance
Working with Big Data using Hadoop and Hive
Integrating Hive with Other Tools and Systems
Working with Cassandra in Hadoop Ecosystem
Advanced Topics in Hadoop and Hive
AWS Basics
Amazon Kinesis
Amazon MSK (Managed Streaming for Apache Kafka)
AWS Glue
Amazon EMR (Elastic MapReduce)
Amazon S3 (Simple Storage Service)
Amazon S3 Glacier
DynamoDB
AWS Redshift
Amazon Athena
Amazon QuickSight
Introduction to Microsoft Azure
Authentication, Authorization, and Monitoring
Data Storage and Integration
Azure Synapse Analytics and Databricks
Azure Stream Analytics, and Azure Service Bus
Introduction to Apache Spark
PySpark SQL and Data Frames
Apache Kafka and Flume
PySpark Streaming
Introduction to PySpark Machine Learning
Introduction to Power BI
Data Extraction
Data Transformation – Shaping & Combining Data
Data Modeling & DAX (Data Analysis Expressions)
Data Visualization with Analytics
Power BI Service (Cloud), Q & A, and Data Insights
Power BI Settings, Administration & Direct Connectivity
Embedded Power BI with API & Power BI Mobile
Power BI Advance & Power BI Premium
Introduction to SSIS and Data Engineering
SSIS Architecture and Components
SSIS Package Development
Data Extraction in SSIS
Data Transformation in SSIS
Data Loading and Destination in SSIS
Advanced SSIS Transformations and Tasks
Error Handling and Logging in SSIS
SSIS Package Deployment and Execution
Performance Tuning and Optimization in SSIS
Advanced SSIS Features and Integration
SSIS Deployment and Maintenance
Introduction to DevOps
Git
Docker
Kubernetes
Jenkins
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 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 the profile shortlisting stage.
Students will go through several 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 learner’s educational background, experience, and future career aspirations.
Guaranteed 3 job interviews upon movement to the placement pool after clearing the Placement Readiness Test ( PRT). 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, and 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
No Cost EMI Starts at
We partnered with financing companies to provide competitive finance option at 0% interest rate with no hidden costs
Financing Partners
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 | 8th Oct 2023 | 08:00 PM IST | Weekend (Sat-Sun) |
Regular Classes | 8th Oct 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, Anyone 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, knowing 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 very much in demand. Currently, there is a shortage in the supply of data engineers and their demand is increasing. Due to this, companies are ready to offer high salaries to the right candidates. Hence, the data engineering domain 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 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 an easy no-cost EMI option to the candidates.
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