Data Engineering Program

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About The Course

The Data Engineering Program is designed to provide learners with the essential skills, tools, and hands-on experience required to build and manage modern data systems. In today’s data-driven world, organizations rely on robust data pipelines, scalable architectures, and cloud-based solutions to extract value from massive datasets.

At GTR Academy, we plan to take a comprehensive approach — starting from the fundamentals of SQL and Python, moving into big data frameworks like Hadoop and Spark, exploring cloud services (AWS), and advancing into ETL, Data Warehousing, DevOps practices, and Data Security.

To ensure that our students build a solid foundation, our Data Engineering program also includes Data Structures, Algorithms, and System Design, preparing learners to design scalable, high-performance systems. With a mix of theory, hands-on labs, and real-world projects, this course equips learners with the ability to work as industry-ready Data Engineers.

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We're Widely Accredited

Know your Mentor

Deep expertise in financial services and scalable data systems
Specialized in ML project architecture, MLOps, NLP, and Computer Vision
8+ Years Of Experience
Trained 1200+ Students
Simplifies Complex Concepts

Data Engineering Program Course Curriculum

Module – 1 Structured Query Language

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
Introduction to NoSQL: MongoDB

Module – 2 Python Basics

What is Python?
Flowcharts, Data Types, Operations
Conditional Statements & Loops
Strings
In-build Data Structures – List, Tuples, Dictionary,
Set, Matrix Algebra, Number Systemx
Basics of Time & Space Complexity
OOPS
Functional Programming
Exception Handling & Modulex
Python Libraries: Numpy, Pandas, Matplotlib, Seaborn, Plotly etc.

Module – 3 Big Data and Cloud Services

Big Data Frameworks

Hadoop

HDFS
YARN
MapReduce

Apache Spark

Spark core concepts: RDDs, DataFrames, and SparkSQL
Parallel processing and distributed computing with Spark
Spark for data transformation, aggregation, and analytics
Powerful data processing with PySpark for scalable analytics

Distributed Databases

CAP Theorem, consistency, availability, partition tolerance
Cassandra, HBase: Columnar data stores for largescale datasets

Real-World Big Data Pipeline

Design and implement a basic pipeline using Hadoop or Spark
Data storage, transformations, and querying

Data Streaming

Introduction to streaming data
Apache Kafka: Basics
Stream processing with Spark Streaming

Advance Cloud Services

AWS

AWS EMR
OnPrem vs Cloud
HDFS vs S3
What is S3
EC2
Elastic IP
AWS storage, networking
S3 and EBS
AWS Glue
AWS Redshift

Module – 4 ETL & Data Warehousing

ETL Pipelines
ETL concepts: Extract, Transform, Load
Data ingestion and transformation
Tools: Apache NiFi, AWS Glue

Data Warehousing

Star Schema
Snowflakes Schemas
Introduction to cloud data warehouses: Redshift, Big Query
OLAP vs OLTP

Module – 5 Advance Data Ops

Advance Data Engineering
High-availability and fault-tolerant designs
Scalability Strategies
DevOps for Data Engineering
CI/CD Pilelines, Jenkins & Gitlab
Infrastructure as Code: Terraform
Containerization: Docker, Kubernetes
Data Security
Data Encryption
Authentication and RBAC

Module – 6 DSA and System Design

Data Structures and Algorithms

Arrays, hashmaps
Stacks, queues
Trees (binary trees, heaps)
Graphs, sorting (QuickSort, MergeSort)
Time and space complexity

System Design

Scalable and fault-tolerant systems
Data warehousing Design
Scalable and fault-tolerant systems
Data warehousing Design

Who is this course for ?

Students and graduates aspiring to enter the data and analytics field.
Software developers and IT professionals transitioning into data engineering roles.
Data analysts who want to scale up to big data and cloud-based pipelines.
Anyone looking to build a strong foundation in data systems and architecture.

Why Choose This Course?

Comprehensive curriculum covering SQL, Python, Big Data, Cloud, ETL, DevOps, and System Design.
Hands-on learning with real-world tools like Hadoop, Spark, Kafka, AWS.
Industry-relevant skills to prepare you for high-demand roles in data engineering.
Balance of theory and practice with structured modules and project-based learning.
Designed by experts to help you become job-ready faster.

Training Delivery

Discovery call

A call to evaluate training requirements and adjust course and delivery accordingly.

Tech call with the Certified Instructor

A call with the Certified Instructor to address specific queries and requirements.

Design of Customized Curriculum

Tailored curriculum to meet specific learning objectives and organizational needs.

Training and Access to LMS

Commencement of training sessions along with access to the Learning Management System.

Live training

Live training sessions conducted in real time to facilitate interactive learning experiences.

Hands on Role Based training with Labs

Interactive training featuring hands on exercises and specialized labs tailored to specific skillset

Course Materials Access using LMS

Access course materials conveniently through the Learning Management System.

Student Progress Metrics

Monitor student progress through comprehensive metrics and analytics.

Final Quiz in Gamification style

Concluding the training with a gamified final quiz to engage learners and reinforce key concepts.

Certificate of Completion (Verifiable)

Participants provided with a verifiable Certificate of Completion upon successfully finishing the training.

Student Video Testimonial

Watch heartfelt testimonials from our students, sharing their firsthand experiences and
success stories about their transformative learning journeys at our institution.

Hear from our students

Explore firsthand accounts of student experiences. Hear their stories, triumphs, and insights that make our community exceptional. Real voices, real impact.

Prashanth K

TCS: 15.6 LPA

Thanks GTR Academy

If you are willing to start your career in SAP or if you are already an SAP professional and want to enhance your knowledge for better career growth , Then GTR Academy is one stop solution for all of us . As the mentor is extremely professional and has a wide experience in multiple MNCs , The depth knowledge and level of teaching.

7 Days Ago

Sourabh Rao

TCS: 18 LPA

GTR Academy is best

If you are aspiring to build your career in SAP consulting, GTR Academy is the best platform. I like to thank GTR Academy and GTR Academy especially for the consistent guidance and motivation. I recommend you GTR Academy 100% to get trained and enhance your knowledge on different SAP modules.

10 Days Ago

Harish

MYTILINEOS (UK) : 60 LPA

Best Training Academy

GTR Academy is platform which not only gives us a knowledge but also provide a chance to develop skills & show case our talent. This platform is helping to many job aspirants like me. Special thanks to GTR Academy for always supporting.This was possible only through GTR Academy continuous support and guidance.

10 Days Ago

Lakshmi

Accenture: 72 LPA

Experienced trainers to guide

I've started preparing in SAP in Feb 2021, I posted a document on LinkedIn to present my skill and fortunately GTR Academy saw my post and suggest me take it as challenge for 21 days and present your skills.
and after completion of 21 days I started getting to many calls and got offer from top 3 MNC's and finally choose NTT Data.

10 Days Ago

~~₹160,000~~ ₹80,000

INR 80,000 now and INR 30,000 post placement of 3 months

~~₹60,000~~ ₹30,000

Data Engineering Program with 9-month access, unlimited mocks, a comprehensive question bank, and personalized doubt solving.

Welcome to GTR Academy, your ultimate destination for top-notch online training and education. Since 2021, we have empowered 10,000+ students and facilitated 9200 placements, helping you step up, learn today, and lead tomorrow!

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