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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.
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.
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.
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.
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.
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.
Explore the earning potential of data engineering careers across key global markets.
₹6.7L – ₹17L / Year
$104K – $172K / Year
£32K – £82.5K / Year
$100K - $160K / Year
$120K - $160K / Year
Best for Data Workflow Foundations
Best for Industry-Ready Data Engineer
Best for Advanced Big Data Career Path
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.
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.
Over the years, we have established a fruitful network with 300+ IT companies and MNCs, and they have numerous positive reviews to contribute.
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