Responsibilities
Develop Python-based data processing and engineering solutions, including ETL workflows. Work with large-volume data and optimize processing using PySpark, Apache Spark, and related data technologies.
Requirements
Requires 10+ years of experience and strong Python development and Big Data processing skills. Candidates should have advanced PySpark, Pandas, Apache Spark, and SQL/Oracle experience, along with experience using MongoDB and Hive.
