• PySpark
• Big Data
• Apache Spark
• Hadoop
• ETL
• Data Engineering
• Python
• Data Architecture
• Performance Tuning
• Distributed Systems
• Data Pipeline
• Team Leadership

This role involves designing and maintaining scalable big data architectures capable of processing large datasets. You will build and optimize ETL pipelines using PySpark and work with distributed data processing frameworks such as Spark and Hadoop. Performance tuning, efficient resource usage, and scalable design are key focus areas. The position requires strong collaboration with cross-functional teams in a fast-paced data engineering environment.