Manager - Data Engineering

📋 Description

• Lead and mentor Data Engineers.
• Design and optimize scalable data pipelines in on-premise environment.
• Build ETL/ELT workflows with Python, Spark, SQL, and Airflow.
• Design and manage Apache Airflow DAGs for data pipeline orchestration.
• Develop Spark-based data processing for large datasets.
• Write complex SQL for data extraction and analysis.

🎯 Requirements

• 8+ years in Data Engineering.
• Strong hands-on Python.
• Strong Apache Spark / PySpark experience.
• Advanced SQL skills with complex joins, windows, and optimization.
• Strong experience with Apache Airflow.
• Experience with on-premise data environments and ETL/ELT processes.