Data Engineering with Placement Support
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Data Engineering
At GTR Academy, we intend to do this in a very detailed manner starting from the very basic concepts of data engineering like SQL and Python, then moving on to big data processing solutions like Hadoop and Spark, followed by cloud solutions (AWS), and then pushing towards ETL, Data Warehousing, DevOps, and Data Security concepts.
Moreover, our Data Engineering also covers courses like Data Structures, Algorithms, and System Design that enable students to have the knowledge and skills required to create scalable and high, performing systems, and get a Data Engineer Certification. With its perfect blend of theories, lab exercises, and live projects, this course molds learners into an industry, ready Data Engineer Roadmap.
Program Highlights
Discover the advantages of Data Engineering
Career in Data Engineering
In-Depth Learning
Skill Enhancement
Professional Growth
GTR Certification
Future-Ready Skills
10+
Other Benefits
Step into the world of high-paying careers 🚀
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Students Trained
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Facilitated Placements
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Years Operations
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
Course Curriculum
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
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.
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
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
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
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.
Training Delivery
Discovery call
A call to evaluate training requirements and adjust course and delivery accordingly.
Tech call with Certified Instructor
A call with the instructor to address specific queries and requirements.
Customized Curriculum
Tailored curriculum to meet specific learning objectives and needs.
Training & LMS Access
Start training sessions with access to the Learning Management System.
Live Training
Interactive live sessions to enhance learning experience.
Hands-on Labs
Role-based training with practical exercises and labs.
Course Materials
Access course materials anytime through LMS.
Progress Metrics
Track student progress with analytics and reports.
Gamified Quiz
Engaging final quiz to reinforce learning.
🎓 Certificate of Completion
Get a verifiable certificate after successfully completing the training.
Student Video Testimonials
Watch real success stories shared by our students.
Choose Your Plan
Start your journey with flexible pricing options
Data Engineering
Live Online
₹120,000
₹80,000
+ ₹30,000 after placement
✔ Live interactive classes
✔ Doubt solving sessions
✔ Placement support
Data Engineering
Recorded (12 Months Access)
₹45,000
₹30,000
✔ Recorded lectures
✔ Mock tests & question bank
✔ Doubt support
Frequently Asked Questions
You will learn data pipelines, ETL processes, databases, big data tools, and cloud basics used in data engineering.
Students, graduates, and working professionals interested in data and technology can apply.
The course includes SQL, Python, data warehousing, ETL tools, big data technologies (like Hadoop/Spark), and cloud platforms.
Yes, it includes hands-on projects, real-time scenarios, and practical assignments.
Yes, the program includes resume building, interview preparation, and job assistance.
Approved Training Partner
Approved Training partner under the scheme for market-led fee-based services by NASSCOM
