基本信息

职位编号:
100014316
工作领域:
Engineering
国家/地区:
中国
省:
北京
市:
北京(Beijing)
日期:
Monday, September 19, 2022
其他工作城市: 

为什么选择联想

联想是一家成立于中国、业务遍及180个市场的全球化科技公司。联想聚焦全球化发展,树立了行业领先的多元企业文化和运营模式典范,服务全球超过10亿用户。作为值得信赖的全球科技企业领导者,联想助力客户,把握明日科技,变革今日世界。

联想作为全球领先ICT科技企业,秉承“智能,为每一个可能”的理念,为用户与全行业提供整合了应用、服务和最佳体验的智能终端,以及强大的云基础设施与行业智能解决方案。

联想 - 没有天花板的舞台,赶快加入我们吧!

职位描述和要求:

!Position Description: 

The ISU data engineer is an individual contributor position in a growing team developing products in support of a new and exciting business. The data engineer is the overall data system owner, expected to work with the cross functional team to bring ISU related solution to market. The data engineer responsibilities include: 

1. Product data creation and maintain (HW/SW/Service)

2. Solution data creation and maintain (across all biz verticals)

3. Product hierarchy, solution hierarchy creation and maintain (HW/SW/Service/Solution)

4. Data system & process newly setup and optimization

5. Define appropriate data structure & type per each product category and biz model (inhouse/3PO)

6.Working closely with ODT Leader and the cross functional team, track data system key dates to ensure product order window opens on target and in accordance with project plan.

7.Maintain data system tools and related documents to enhance data project management monitoring and make sure input are up to date and correct.

8.Identify key project data risks and ensure the risks are properly managed during development, qualify, launch phase.

9.Manage and correct data system issues and push downstream team to resolve issues with minimized impact or mitigation plan.

10.Lead & Landing new BTIT data related system into ISU biz; Be entrepreneurial to change process and be lean and efficient.

11.Maintain a customer-centric mindset and try to fulfill worldwide sales organization & finance reporting.


Position Requirements: 

1.Bachelor Degree 

2.5+ years or more of data development experience 

3.Experience working in the PC,solution or related industry 

4.Understanding data related IT system 

5.Excellent written and spoken language skills in English 

6.Knowledge of current Project Management methodologies. 

7.Excellent interpersonal skills and attention to detail. 

8.Strong computer skills with typical Office applications.