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Key Responsibilities: ? Design, develop, and maintain scalable data pipelines and ETL processes to support supply chain analytics. ? Collaborate with supply chain partners to understand their data needs and translate them into technical requirements. ? Work closely with multi-functional teams, including data scientists, analysts, and IT, to integrate data solutions. ? Monitor performance and solve issues within the data infrastructure. ? Ensure data quality, integrity, and security across all data sources and platforms. ? Drive initiatives to improve data accessibility and usability for supply chain decision-makers. ? Implement best practices in data engineering, including coding standards, testing, and documentation. ? Stay ahead with emerging technologies and industry trends to continuously improve our data engineering practices.

Key Requirements: ? Bachelor’s or Master’s degree in quantitative fields, e.g. Computer Science, Engineering, Information Systems, or a related field. ? 6+ years demonstrable experience in data engineering, with a focus on supply chain management. ? Proven track record of leading successful data engineering projects. ? Proficiency in SQL, Python, and other data pipeline tools. ? Good experience with ERP (SAP, Oracle) and knowledge of data warehousing solutions like AWS, etc. ? Familiarity with data visualization tools such as Power BI, etc. ? Strong problem-solving skills and attention to detail. ? Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical partners. ? Good command of English & Mandarin.