Senior Data Engineer

Designs, develops, and maintains scalable data pipelines and systems to support analytics, machine learning, and business intelligence within the logistics domain. Collaborates with cross-functional teams to gather data requirements and deliver reliable, high-quality technical solutions. Responsibilities include optimizing data infrastructure, ensuring data integrity, and proactively monitoring pipelines to resolve issues efficiently. Also provides mentorship to junior engineers and provides technical excellence across all phases of project development, from proof of concept to full-scale production.
Roles & Responsibilities
Data Engineering: Design, develop, and maintain robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources. System Architecture for Analytics: Build scalable data systems that support analytics, machine learning, and business intelligence use cases within the logistics domain, in close collaboration with solution architects. Cross-...