STUDENT LOGIN Special Year End Offer – Get Up to 50% Off – 10 Seats Available Enroll Now T&C Applied

Banner
Shape Shape
icon Master in Job-Ready Data Engineering Skills

Data Engineering Course

Develop practical data engineering skills to boost your career. Our Data Engineering course helps you understand how real data work happens through guided practice and project-based training.

Star 4.8
  • Image
  • Image
  • Image
  • Image
  • 122+
Students Enrolled
Duration 5 - 9 Months
Level Beginner to Advanced
Mode Online / Hybrid
Format Practical + Project-Oriented

Learn data engineering skills with project-based training

Enroll Now!
Trusted by Leading Platforms

Trusted by Leading Platforms Webskitters Academy aligns its Data Engineering training standards with globally recognized platforms and institutions to ensure industry-ready Data Engineering learning.

Why Webskitters Academy?

Why Webskitters Academy for Data Engineering Course?

Train inside a real IT ecosystem with live production exposure and placement-focused mentorship for Data Engineering Course

Webskitters Academy is the learning and talent development arm of Webskitters, designed to bridge the gap between education and industry. Students train within a real IT ecosystem for Data Engineering course, gain exposure to live production environments, and receive placement-focused mentorship from experienced professionals to build job-ready skills on Data engineering for today’s technology landscape.

  • 4800+ Students Trained
  • National Award Winning Academy
  • 4000+ Students Placed
  • Real IT Ecosystem Backing
  • 300+ IT Companies' Association
  • Complete Placement Assistance
Why Webskitters Academy?
AI Is Changing Every Industry

Data Is Growing Inside Every Company But Only Skilled Data Engineers Can Scale It

Where Learners Often Get Stuck

  • Learn Python without data use cases
  • Write SQL but miss workflow logic
  • Don’t understand ETL pipelines
  • Struggle with big data concepts
  • Avoid PySpark and Databricks practice
  • Finish without project proof

This Data Engineering Course Helps

  • Practise Python and SQL workflows
  • Build ETL data pipelines
  • Handle CSV, JSON, and structured data
  • Work with PySpark on Databricks
  • Understand cloud data architecture basics
  • Learn warehouse and Snowflake concepts

Who Should Join This AI-Powered Data Engineering & Big Data Engineering Program

For learners who want to work with data systems, not just reports

This program is suitable for students, freshers, developers, technical graduates, working professionals, database professionals, data analytics professionals, career switchers, and cloud or AI enthusiasts. Basic computer knowledge, logical thinking, and programming basics are enough to begin.

Technical Graduates

Move into a career path built around pipelines, databases, and analytics infrastructure.

Developers

Add Python, SQL, ETL, PySpark, and cloud data workflow to your skill set.

Data Analytics Professionals

Go beyond dashboards and learn how analytics-ready data is prepared.

Career Switchers

Enter a data-focused role with guided foundations and practical workflow training.

Working Professionals

Upgrade your profile with modern data tools and portfolio-ready engineering practice.

What You’ll Be Able to Build After Completing This Program

What You’ll Be Able to Build After Completing This Program

  • Python-Based Data Workflows
  • SQL Data Transformation Queries
  • ETL Pipeline Flows
  • Structured Data Handling
  • Semi-Structured Data Processing
  • PySpark Processing Workflows
  • Databricks Community Projects
  • Warehouse-Ready Datasets
  • Cloud Data Workflow Plans
  • Portfolio-Ready Engineering Projects

Structured Data Workflow Roadmap

Our Data Engineering course in Kolkata begins with Python and SQL foundations and advances into ETL, PySpark, Databricks, cloud concepts, warehouse awareness, applied AI workflow, and portfolio projects.

01
02
03
04
01

Python & SQL Foundations

  • Python programming basics
  • File handling and Jupyter workflow
  • SQL queries and joins
  • Data extraction practice
02

ETL & Warehouse Workflow

  • Data extraction, transformation, loading
  • CSV and JSON processing
  • Data validation and error handling
  • Star and Snowflake schema basics
03

Big Data, PySpark & Cloud

  • Distributed processing concepts
  • PySpark DataFrame practice
  • Databricks Community Edition workflow
  • AWS, Azure, and GCP awareness
04

AI Workflow, Projects & Career

  • AI-assisted data documentation
  • Real-time industry projects
  • GitHub portfolio basics
  • Mock interviews and career planning

Tools & Technologies You’ll Work With

Through this Data Engineering course students get hands-on exposure to the tools and concepts used across modern data pipelines, big data processing, warehouse systems, and analytics-ready workflows.

Programming
  • Python

Database Workflow
  • SQL

Big Data Processing
  • PySpark

Big Data Platform
  • Databricks Community Edition

ETL Workflow
  • Python ETL

Cloud Awareness
  • AWS

  • Azure

  • GCP

Warehouse Awareness
  • Snowflake Concepts

Notebook Environment
  • Jupyter Notebook

Version Control
  • Git & GitHub Basics

AI Productivity
  • Applied AI Workflow

cariculm bg

Comprehensive Industry-Aligned Curriculum

Build a strong programming foundation using Python. Learn core programming concepts, file handling, object-oriented basics, and data engineering workflows through practical exercises and real-world examples.

Understand how data pipelines work by learning extraction, transformation, and loading processes. Build ETL workflows, handle multiple data formats, and gain exposure to workflow orchestration concepts.

Explore the foundations of big data and distributed processing systems. Understand modern data platforms, data lakes, streaming concepts, Hadoop awareness, and real-world big data workflows.

Master SQL queries and database operations used in modern data engineering. Learn data
extraction, filtering, joins, transformations, and analytics workflows used in real data environments.

Learn the fundamentals of modern data warehouses, schema design, and analytics storage systems. Understand warehouse architectures, OLTP and OLAP concepts, and cloud warehouse workflows.

Work with PySpark and Databricks Community Edition to process large datasets efficiently. Learn data transformation, Spark DataFrames, distributed processing, and ETL implementation using real datasets.

Build a strong programming foundation using Python. Learn core programming concepts, file handling, object-oriented basics, and data engineering workflows through practical exercises and real-world examples.

Master SQL queries and database operations used in modern data engineering. Learn data
extraction, filtering, joins, transformations, and analytics workflows used in real data environments.

Understand how data pipelines work by learning extraction, transformation, and loading processes. Build ETL workflows, handle multiple data formats, and gain exposure to workflow orchestration concepts.

Learn the fundamentals of modern data warehouses, schema design, and analytics storage systems. Understand warehouse architectures, OLTP and OLAP concepts, and cloud warehouse workflows.

Explore the foundations of big data and distributed processing systems. Understand modern data platforms, data lakes, streaming concepts, Hadoop awareness, and real-world big data workflows.

Work with PySpark and Databricks Community Edition to process large datasets efficiently. Learn data transformation, Spark DataFrames, distributed processing, and ETL implementation using real datasets.

Career Paths Career Paths

Career Paths After Completing This Program

Entry Level

  • Data Engineer

  • ETL Developer

  • SQL Developer

  • Cloud Data Associate

  • Data Pipeline Associate

Intermediate Level

  • Big Data Associate

  • PySpark Developer

  • Data Warehouse Associate

  • Data Platform Associate

  • Big Data Workflow Associate

Average Salary Estimates

Explore the earning potential of data engineering careers across key global markets.

  • INDIA

    ₹6.7L – ₹17L / Year

  • USA

    $104K – $172K / Year

  • UK

    £32K – £82.5K / Year

  • CAN

    $100K - $160K / Year

  • AUS

    $120K - $160K / Year

We Help You Become Industry-Ready

  • Complete Placement Assistance
  • Mock Technical Interviews
  • GitHub Portfolio Building
  • Placement Readiness Support
  • Resume Optimization
  • Freelancing Workflow Guidance
  • LinkedIn Profile Optimization
  • Industry Project Exposure
BG

Choose The Learning Path That Fits Your Career Goals

Shape Shape

Launchpad Program

Best for Data Workflow Foundations

Launchpad Program Includes:
  • Python Foundations
  • SQL Workflow
  • ETL Workflow
  • Data Warehouse Concepts
  • Snowflake Awareness
  • Big Data Fundamentals
  • Real-Time Industry Projects: 2 Projects
  • Recorded Session Access: 6 Months
  • Community Support
₹49,999 ₹59,999
EMI Available

Elite Career Program

Best for Advanced Big Data Career Path

Career Accelerator Program +
  • 8+ Advanced Real-Time Industry Projects
  • One-to-One Mentorship
  • Advanced Portfolio Review
  • Priority Placement Support
  • Advanced Big Data Career Path
  • Lifetime Recording Access
  • Community Support
  • Advanced project presentation workflow
  • Premium career growth support
₹1,49,999 ₹1,59,999
EMI Available

Course Reviews

Read what our students say about their experience with us. We are really proud of creating a learning environment that helps people. Our goal is to support individuals in achieving their career goals through education and practical help.

5★★★★★
The Data Engineering course gave me a clear understanding of data pipelines, databases, and ETL processes. The practical assignments helped me apply concepts in real-world scenarios and improved my confidence significantly.
5★★★★★
I found the course very informative and well-structured. The trainers explained complex topics in a simple way, making it easier to understand data engineering concepts from the ground up.
5★★★★★
The hands-on projects were the highlight of this course. Working with datasets and building data workflows helped me gain practical experience beyond theoretical learning.
5★★★★★
The course covered important topics like data warehousing, SQL, and data processing tools. The learning experience was smooth, and the mentorship was excellent throughout the program.
5★★★★★
I joined the course to learn about modern data engineering practices, and it delivered exactly that. The practical sessions helped me understand how data systems work in real business environments.
5★★★★★
The trainers were knowledgeable and supportive. They focused on practical implementation, which helped me develop a strong understanding of data engineering workflows and tools.
Image

Frequently Asked Questions

No. Basic computer knowledge, logical thinking, and familiarity with programming concepts are enough to begin. Prior Python knowledge is helpful, but it is not mandatory for joining the program.
You will learn Python, SQL, ETL workflow, data warehousing concepts, PySpark, Databricks, cloud data engineering awareness, and modern data workflow practices through practical projects and guided exercises.
Yes. The program is designed for working professionals, developers, analytics professionals, and career switchers who want to move into data engineering and modern data platform roles.
Yes. You will complete industry-oriented projects covering ETL pipelines, SQL analytics, big data processing, Databricks workflows, warehouse concepts, cloud data workflows, and AI-assisted data processes.
The curriculum includes Python, SQL, PySpark, Databricks Community Edition, Jupyter Notebook, GitHub basics, ETL workflow, warehouse concepts, and cloud ecosystem awareness across AWS, Azure, and GCP.
Yes. Placement assistance is available in the Career Accelerator and Elite Career programs, along with resume support, LinkedIn optimisation, mock interviews, portfolio development, and mentorship sessions.
After completing the program, you can pursue roles such as Data Engineer, ETL Developer, SQL Developer, Cloud Data Associate, Data Pipeline Associate, Big Data Associate, or PySpark Developer.
The complete program runs for approximately 8–10 months and includes 210–250 hours of practical, project-oriented training delivered through weekday and weekend batch options.
BG

What Students are Saying

Your future deserves the right learning partner. Before you enroll in our Data Engineering Course, hear what our students have to say about their experience, growth, and career outcomes.

The Data Engineering course at Webskitters Academy provided excellent practical exposure to SQL, ETL pipelines, and cloud concepts. The hands-on projects helped me understand real-world data engineering workflows.

Sayan Ghosh

Kolkata

I had a great learning experience at Webskitters Academy. The Data Engineering course combined theory with practical assignments, making it easy to understand data pipelines, databases, and big data fundamentals.

Priya Sharma

Sodepur

Webskitters Academy’s Data Engineering course was well-structured and industry-oriented. The trainers explained every concept clearly, and the real-world projects gave me confidence to work on data engineering tasks.

Arindam Roy

Jamsedpur

The practical learning approach at Webskitters Academy made a huge difference. The Data Engineering course helped me develop strong skills in data processing, ETL, SQL, and cloud-based data solutions.

Neha Banerjee

Kolkata

The Data Engineering course at Webskitters Academy exceeded my expectations. The updated curriculum, hands-on projects, and supportive mentors helped me build a solid foundation for a career in data engineering.

Rahul Mehta

Dum Dum

Learning Data Engineering at Webskitters Academy was a rewarding experience. The course covered essential tools and concepts through practical sessions, helping me gain confidence in building and managing data pipelines.

Ananya Das

Delhi

Our Students Are Placed in
Reputed Firms

“We have had the privilege of hiring the best-trained candidates from Webskitters Academy. They were brilliant in technical expertise. The work process they followed, their core knowledge and the corporate ethics are exclusively what we expected. Thank you, Webskitters Academy, for offering such candidates our way.”

Payal Chatterjee

HR Executive

“We are happy with the quality of training that the Webskitters Academy students have received. Few of them have been on-board with us recently and they have impressed us. We would recommend our associates to hire freshers from this institute, they make sure that the students are well-trained and prepared for the industry.”

Sayani Dey

HR Executive

“We recently hired some certified tech candidates for varied job roles from Webskitters Academy. So far, it was the best decision we took. The candidates are skilled, learned, and willing to expand their knowledge base through continuous learning. We are open to collaborating with Webskitters Academy to access profound talents trained to confidently navigate the IT domain.”

Rounak Dhar

HR Executive

“We have had the privilege of hiring the best-trained candidates from Webskitters Academy. They were brilliant in technical expertise. The work process they followed, their core knowledge and the corporate ethics are exclusively what we expected. Thank you, Webskitters Academy, for offering such candidates our way.”

Payal Chatterjee

HR Executive

“We are happy with the quality of training that the Webskitters Academy students have received. Few of them have been on-board with us recently and they have impressed us. We would recommend our associates to hire freshers from this institute, they make sure that the students are well-trained and prepared for the industry.”

Sayani Dey

HR Executive

“We recently hired some certified tech candidates for varied job roles from Webskitters Academy. So far, it was the best decision we took. The candidates are skilled, learned, and willing to expand their knowledge base through continuous learning. We are open to collaborating with Webskitters Academy to access profound talents trained to confidently navigate the IT domain.”

Rounak Dhar

HR Executive

What Our Recruiters are Saying

Over the years, we have established a fruitful network with 300+ IT companies and MNCs, and they have numerous positive reviews to contribute.

View more