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Data Engineering Manager

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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.