Data Engineering (Airflow)

About This Course

Data Engineers (Airflow) design, build, and automate scalable data pipelines that support reliable data integration, transformation, and orchestration across enterprise systems. They collaborate with data engineers, analysts, and data scientists to streamline ETL workflows and ensure efficient, scheduled, and monitored data processing. This course prepares learners for a career in Data Engineering (Airflow) through hands-on projects, industry workflows, collaborative learning, and real-world case studies aligned with current hiring expectations in India. Learners gain expertise in Apache Airflow, Python, SQL, ETL development, workflow orchestration, data pipeline automation, scheduling, monitoring, cloud data platforms, and data warehousing concepts. The curriculum includes practical experience with industry-standard data engineering tools and cloud technologies. Through live projects and capstone assignments, participants develop programming, automation, and analytical skills, preparing them for Data Engineer, Airflow Engineer, ETL Developer, Data Pipeline Engineer, and Cloud Data Engineer roles across diverse industries.

Key Responsibilities

• Design, build, and orchestrate scalable data pipelines using Apache Airflow
• Develop and manage ETL workflows and automate data movement across systems
• Monitor workflow performance, troubleshoot failures, and ensure data reliability
• Integrate data pipelines with cloud platforms, databases, and big data technologies
• Collaborate with data engineers, analysts, and data scientists to support analytics and machine learning initiatives.

Growth Path

Tools Used

Perfect For

Computer Science and Engineering Graduates | Data Engineers and Software Developers | Big Data and Cloud Professionals | Data Analytics and Machine Learning Aspirants | Database and ETL Professionals | Individuals Interested in Building Automated Data Platforms

Fee Structure