Senior Data Engineer

· Build, deploy, and manage data pipelines using Python and PySpark

· Develop and optimize ETL/ELT processes to support data integration across systems

· Work directly with GCP and AWS services to implement scalable cloud-based data solutions

· Own data workflows end-to-end — from ingestion to transformation to storage

· Continuously monitor and improve pipeline reliability, speed, and data quality

· Use GenAI and automation tools to speed up development and reduce manual effort

· Proactively debug, troubleshoot, and resolve data engineering issues

· Ensure data is available and trustworthy for analytics and downstream systems

· Deliver high-quality code and documentation with a bias for action