Data Engineering
SQL | Python | ETL | Airflow | Spark | Kafka | Cloud | Real-Time Projects
Course Overview
This Data Engineering Training Course is designed to build strong data pipeline, ETL and big data processing skills required for Data Engineer and Big Data Engineer roles. The course covers SQL, Python, Linux, ETL Concepts, Airflow, Spark, Kafka, Cloud Data Pipelines and real-time data engineering projects.
The training focuses on practical implementation, assignments, real-world use cases, interview preparation and job support to make you industry-ready.
Topics
Introduction to Data Engineering
SQL for Data Engineering
Python Programming
Linux Fundamentals
Shell Scripting
ETL Concepts
Data Warehousing
Apache Airflow
Apache Spark
PySpark
Apache Kafka
Cloud Data Pipelines
Big Data Concepts
Pipeline Monitoring
Real-Time Data Pipeline Project
Interview Questions
Resume Preparation
Tools Covered
SQL
Python
Linux
Apache Airflow
Apache Spark
PySpark
Kafka
AWS
Azure
Git
Projects
ETL Data Pipeline Project
Batch Processing Pipeline
Streaming Data Project
Kafka Producer Consumer Project
Spark Transformation Project
Cloud Data Warehouse Project
End-to-End Data Engineering Project
Course Features
Real-Time Projects
Hands-On Practice
Assignments
Interview Preparation
Resume Preparation
Job Support
Flexible Timings
Recorded Sessions
Certificate of Completion