Data Engineer (Distribution Center)

Marathon TS is seeking a Data Engineer with expertise in Google Cloud Platform (GCP), BigQuery, and SQL, focusing on building scalable data solutions for supply chain and distribution center operations. The role involves designing high-performance data pipelines and ensuring data quality and governance across enterprise data platforms.

Responsibilities:

• Design, develop, and optimize data pipelines and ELT processes using BigQuery and GCP services
• Write and tune complex, high-performance SQL queries across large-scale supply chain datasets
• Build and maintain data models supporting warehouse operations, inventory flow, and logistics performance
• Ingest and transform data from systems such as WMS (Warehouse Management Systems), TMS (Transportation Management Systems), and order management platforms
• Support analytics related to inventory levels, order fulfillment, shipment tracking, labor productivity, and throughput
• Partner with supply chain, operations, and analytics teams to deliver scalable data solutions
• Ensure data quality, reliability, and governance across enterprise data platforms
• Optimize performance and cost efficiency within BigQuery and GCP environments

Requirements:

• 4+ years of experience in Data Engineering
• Strong hands-on experience with BigQuery
• Advanced proficiency in SQL (complex joins, window functions, performance tuning)
• Experience working within Google Cloud Platform (GCP)
• Experience supporting supply chain, logistics, or distribution center data environments
• Strong understanding of data modeling, ETL/ELT, and large-scale data processing
• Experience with Python for data processing or automation
• Familiarity with data orchestration tools (e.g., Airflow)
• Experience with real-time or streaming data (e.g., Pub/Sub, Kafka)
• Exposure to BI/analytics tools (Looker, Tableau, etc.)
• Experience working with high-volume operational data in enterprise environments