职位概览
- 上海
- 全职职位
- 37451
- 07/02, 2025
- 有竞争力的
职位描述
Our Client is a leading MNC
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes to enhance supply chain analytics.
- Partner with supply chain stakeholders to assess data requirements and translate them into technical solutions.
- Collaborate with cross-functional teams, including data scientists, analysts, and IT, to integrate and optimize data workflows.
- Monitor data infrastructure performance, troubleshoot issues, and implement improvements.
- Ensure data accuracy, integrity, and security across various platforms and sources.
- Enhance data accessibility and usability to support informed decision-making in supply chain operations.
- Implement best practices in data engineering, including coding standards, testing, and comprehensive documentation.
- Stay updated on emerging technologies and industry trends to drive continuous innovation in data engineering.
Key Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related quantitative field.
- Minimum of 6 years of proven experience in data engineering, preferably in supply chain management.
- Demonstrated success in leading and executing data engineering projects.
- Proficiency in SQL, Python, and relevant data pipeline tools.
- Hands-on experience with ERP systems (e.g., SAP, Oracle) and data warehousing solutions (e.g., AWS).
- Familiarity with data visualization tools such as Power BI.
- Strong analytical and problem-solving skills with keen attention to detail.
- Excellent communication and collaboration abilities, capable of working effectively with both technical and non-technical stakeholders.
- Proficiency in English and Mandarin.