Data Engineering Program
Build scalable data pipelines with Spark, Airflow, and cloud technologies.
Join 2,850+ Students Already Enrolled
2,850+
Students Enrolled
20–24 Weeks
Course Duration
160+ Hours
Learning Hours
Program Highlights
Learn from Top Industry Engineers and Cloud Architects.
End-to-End Data Engineering Curriculum: from Python, SQL, and ETL to Big Data and Cloud.
Hands-on Cloud Labs: Work directly on AWS, Azure, or Google Cloud environments.
Real-World Projects: Build and deploy full-scale data pipelines and analytical systems.
Career-Ready Focus: Resume building, mock interviews, and placement assistance.
24×7 Support: Get access to expert mentors and a learner community.
Batch Details
Batch 01 (Weekday)
Online
Batch 02 (Weekend)
Online
Limited seats available. Early enrollments get exclusive bonuses!
Tools & Technologies Covered
Your Learning Path
Data Foundations
Python, SQL, and data modelling essentials
ETL & Data Warehousing
Data pipelines, orchestration, and transformation logic
Big Data Systems
Apache Spark, Hadoop, and scalable processing
Streaming & Orchestration
Kafka, Airflow, and real-time data workflows
Cloud Data Engineering
AWS, Azure, and GCP data ecosystems
Data Optimization & Storage
Parquet, ORC, partitioning, indexing
ML & Analytics Integration
Enabling ML pipelines and business intelligence dashboards
Capstone Project
Build an end-to-end enterprise-grade data pipeline
Career Readiness
Resume workshops, mock interviews, and hiring preparation
Our Top Recruiters
Learners from Quantum Leap Academy have been placed at:
Hear From Our Learners
"The Data Engineering course gave me the confidence to work on end-to-end pipelines. The mentors were fantastic!"
"Excellent coverage of Spark, Airflow, and Cloud integration — the projects were industry-relevant."
"Quantum Pod’s mentorship made my transition from developer to data engineer seamless."
Ready to Start Your Journey?
Enroll today and take the first step towards your dream career.