About The Position

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.

Requirements

  • 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.
  • Fluency in both spoken and written English and Mandarin is required.

Nice To Haves

  • Knowledge of supply chain, retail, logistics, and sales data domains is preferred.

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.

Benefits

  • Equal opportunity employer
  • Does not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, or genetic information.
  • Complies with all applicable laws regarding equal employment opportunity
  • Affirmatively seeks to recruit, develop, and promote qualified individuals from diverse backgrounds.
  • Committed to providing a work environment that is free from discrimination, harassment, and retaliation.
  • Encourages applicants of all ages, races, ethnicities, religions, genders, sexual orientations, and abilities to apply for employment with our company.
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