Bilingual Data Engineer (Data Platform & Integration)

Job Summary

Build and manage the U.S. business data platform, covering end-to-end data integration from customers, 3PL providers, external partners, and internal business systems to the data warehouse and BI presentation layer. Establish a stable, standardized, and scalable data foundation to support business analytics, AI applications, Power BI, self-service analytics, and management decision-making. Collaborate with the Global Headquarters data team, U.S. business teams, and external partners to ensure alignment with corporate data standards while supporting local business requirements.

Responsibilities

• Design and maintain integrations for customer Sell-out, Inventory, and other external business data.
• Integrate logistics data from 3PL providers, including inventory, inbound/outbound transactions, POD, and transportation status.
• Develop and maintain integrations with SAP, OMS, TMS, WMS, CRM, GCRM, and GRS systems.
• Design and maintain APIs, EDI, SFTP, CSV, Excel, SharePoint, and other integration interfaces.
• Design and maintain the enterprise data warehouse architecture, including ODS, DWD, DWS, DM, and Semantic Layer.
• Develop fact tables, dimension tables, snapshot tables, bridge tables, and master data models.
• Establish data governance, metadata, data lineage, data dictionary, and data quality monitoring.
• Align U.S. data models and governance standards with Global Headquarters while supporting regional business enhancements.
• Provide reliable data services for BI, AI, business analytics, and ad-hoc reporting.

Qualifications

• Bachelor's degree or above in Computer Science, Information Systems, Statistics, Mathematics, or a related field.
• 5+ years of experience in Data Engineering, ETL, or Data Warehouse development.
• Strong SQL skills and experience with MySQL, Oracle, or similar databases.
• Hands-on experience with Microsoft Fabric, FineReport, or similar data platforms.
• Knowledge of supply chain, retail, logistics, and sales data domains is preferred.
• Fluency in both spoken and written English and Mandarin is required.