Big Data Engineer Masters Program
Join our Data Engineering Masters Program for hands-on training in Big Data Processing with Hadoop, Spark, and AWS tools like Lambda, EMR, Kinesis, Athena, Glue, and Redshift. Unlock the power of scalable data processing and cloud technologies to shape your future in the world of data engineering.
About This Course
Are you interested in a career as an AWS Data Engineer?
The “Data Engineering Masters Program with AWS” is designed to equip you with the skills necessary to become an expert in data engineering using AWS. This comprehensive program covers the design, development, deployment, and management of data-intensive pipelines and applications using a range of AWS services such as S3, Redshift, DynamoDB, Glue, PySpark, Lambda, and more.
In addition to learning how to build efficient and scalable data engineering pipelines, you will also learn to store and manage large volumes of data and perform data transformations and analytics using AWS services. The course covers the AWS data ecosystem, data warehousing, querying techniques, and real-time data streams.
With real-world projects and personalized feedback from experienced data engineering professionals, you will gain hands-on experience and be able to apply your knowledge and skills to real-world scenarios. This program is suitable for both beginners and experienced developers looking to build a career as an AWS Data Engineer.
Big Data Engineer Masters Program Syllabus
Big Data Foundations - Preparatory Course
LIVE TRAINING
Big Data Foundation module offers comprehensive knowledge in Big Data, SQL, NoSQL, Linux, and Git. You’ll learn database management, querying, data manipulation, Linux operations, and version control using Git. This solid foundation primes you for a successful career in the ever-evolving Big Data landscape.
Python For Data Engineering
LIVE TRAINING
Distributed Data Processing
LIVE TRAINING
This course covers Distributed Data Processing using Big Data Hadoop, HDFS, Apache Spark, PySpark, and Hive. Explore fundamentals of Hadoop and HDFS for data management, learn Apache Spark. Become expert in PySpark and efficient data processing. Interact with distributed data using Hive’s HQL queries. Hands-on projects for practical expertise in distributed data processing. Master Hadoop eco-system to tackle big data challenges and drive data-driven insights.
Individual Project -1
LIVE TRAINING
This is an Individual Project designed to equip the learners with Hands-On E
AWS Certified Data Analytics Specialty - Certification Training
LIVE TRAINING
This comprehensive certification course is designed to transform you into an AWS data analytics expert. Gain proficiency in data collection, storage, and processing using Amazon S3, Redshift, and AWS Glue. Build scalable data pipelines for ETL through hands-on practice. Explore data analysis and visualization with Amazon QuickSight. Dive into machine learning using Amazon SageMaker and real-time data processing with Amazon Kinesis. Prepare for the certification exam and unlock new career possibilities in AWS data analytics.
Snowflake Advanced Data Engineer Certification
SELF PACED
This comprehensive certification course is designed to equip you with advanced skills in Snowflake data engineering and analytics. Covering data modeling, loading, unloading, and performance optimization, you’ll learn to design efficient data pipelines. Explore Snowflake’s features for data security, sharing, and scaling. Gain hands-on experience with Snowflake’s cloud-based platform, preparing for the SnowPro Advanced Data Engineer Certification. Unlock the full potential of Snowflake for advanced data engineering and analytics in this exciting journey.
Group Project - 1
HANDS-ON
This section consists of One Group Project that covers the Concepts of AWS Data Analytics Specialty certification which helps to gain Real Time Project Experience.
Dive Into Data Lake Table Format Frameworks
LIVE TRAINING
This comprehensive certification course is designed to provide in-depth knowledge of data lake storage frameworks. Explore Delta Lake and Hudi, powerful technologies for data lake management. Learn about data consistency, reliability, and versioning with Delta Lake. Discover Hudi’s capabilities for stream processing and efficient data ingestion. Work on real-world projects and elevate your expertise in data lake storage solutions.
DevOps Foundations
LIVE TRAINING
This comprehensive course is designed to provide a strong foundation in DevOps practices and principles. Participants will gain a deep understanding of DevOps culture, methodologies, and tools, enabling them to improve collaboration and streamline software development and deployment processes.
Group Project - 2
HANDS-ON
This section consists of One Group Project that covers all the concepts of the program.
Tools Covered
Job market overview
AWS Data Engineers are in high demand in the job market due to the increasing need for data-driven decision making. According to Glassdoor, the national average salary for a Data Engineer is $96,774 in the United States, and the demand for AWS Data Engineers is expected to grow exponentially in the coming years. This course will provide you with the necessary skills to excel in this field and stay ahead of the competition.
What you will learn
By the end of this course, you will have the skills and knowledge necessary to design and implement scalable data engineering pipelines on AWS using a range of services and tools.
Course Format
- Live classes
- Hands-on trainings
- Mini-projects for every module
- Recorded sessions (available for revising)
- Collaborative projects with team mates in real-world projects
- Demonstrations
- Interactive activities: including labs, quizzes, scenario walk-throughs
What this course includes
- 200+hrs of live classes
- Collaborative projects
- Slide decks, Code snippets
- Resume preparation from the 2nd week of course commencement
- 1:1 career/interview preparation
- Soft skill training
- On-call project support for up to 3 months
- Certificate of completion
- Unlimited free access to our exam engines
Our students work at
Prerequisites
- CS/IT degree or prior IT experience is highly desired
- Basic programming and cloud computing concepts
- Database fundamentals
Why should you take the course with us
- Project-Ready, Not Just Job-Ready!
By the time you complete our program, you will be ready to hit the ground running and execute projects with confidence.
- Authentic Data For Genuine Hands-On Experience
Our curated datasets sourced from various industries, enable you to develop skills in realistic contexts, tackling challenges in your professional journey.
- Personalized Career Preparation
We prepare your entire career, not just your resume. Our personalized guidance helps you excel in interviews and acquire essential expertise for your desired role.
- Multiple Experts For Each Course
Multiple experts teach various modules to provide you diverse understanding of the subject matter, and to benefit you with the insights and industrial experiences.
- On-Call Project Assistance After Landing Your Dream Job
Get up to 3 months of on-call project assistance from our experts to help you excel in your new role and tackle challenges with confidence.
- A Vibrant and Active Community
Get connected with a thriving community of professionals who connect and collaborate through channels like Discord. We regularly host online meet-ups and activities to foster knowledge sharing and networking opportunities.
FAQs
Course Completion Certification
Monthly Payment
20% off
Pay monthly and save 20% on tuition fee
INR 10,000
Total up to 60,000
Learning Objectives
Target Audience
- Computer Science or IT Students is highly desirable
- or other graduates with passion to get into IT
- Data Warehouse, Database, SQL, ETL developers who want to transition to Data Engineering roles
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