Data Engineer

Our transportation client is seeking a Data Engineer to support large‑scale logistics operations by building reliable, scalable, and cloud‑based data pipelines. This role is hands‑on, focused on delivering high‑quality data flows that improve shipment visibility, operational efficiency, and real‑time analytics across the supply chain.

Key ResponsibilitiesDesign, build, and maintain ETL/ELT pipelines that process high‑volume operational and logistics dataDevelop transformation logic and automation using Python, SQL, and Azure-native toolingImplement and orchestrate workflows in Azure Data Factory, Synapse, and DatabricksOptimize data lake and warehouse performance, including tuning queries, pipelines, and storage layersMonitor pipeline health and proactively troubleshoot failures, bottlenecks, and data quality issuesContribute to data modeling efforts to support analytics, reporting, and downstream applicationsCollaborate with BI, product, supply chain, and application teams to align pipelines with business needsMaintain strong documentation around workflows, standards, and operational proceduresSupport governance initiatives related to data quality, lineage, cataloging, and access policiesFollow best practices for security, compliance, and cloud resource management