Job Description
61 Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
61 Write clean, efficient, and well-documented code using programming languages.
61 Actively participate in full software development lifecycle, including active usage and understanding of AI services or models.
61 Design, implement, and optimize data pipelines and ETL processes to ingest, process, and analyze large volumes of data from various sources.
61 Stay current with emerging technologies and best practices in data engineering and software development.
61 Work with domain experts and customers to identify areas for improvement and applying best practices.


Qualifications
61 Master's degree from 211/985 university, preferably in information technology, computer science or equivalent.
61 Master of programming language like Python, JavaScript etc.
61 Excellent in Database query language like SQL, Spark SQL.
61 Familiar with Java script, JQuery, CSS, HTML5; frontend technology(React.JS, Angular, VUE.JS) is preferred
61 Good knowledge in database structure and systems like MSSQL, Oracle.
61 Good knowledge in AI such as LLM, VLM etc.
61 Experience in BI tool like Power Bi, Tableau.
61 Good communication skills.
61 Fluent in English (writing and speaking).
61 Knowledge in SAP system (WMS,TMS,FTS) is a plus.岗位描述：
1.与跨职能团队合作，理解业务需求，并将它们转化为技术解决方案。
2.使用编程语言编写清晰、高效且文档齐全的代码。
3.积极参与整个软件开发生命周期，包括积极使用和理解人工智能服务或模型。
4.设计、实施和优化数据管道和ETL流程，以从各种来源摄取、处理和分析大量数据。
5.保持对数据工程和软件开发中新兴技术和实践的了解。
6.与领域专家和客户合作，识别改进领域并应用实践。
要求：
硕士，信息技术、计算机科学等专业。
精通编程语言，如Python、JavaScript等。
精通数据库查询语言如SQL、Spark SQL
熟悉JavaScript、JQuery、CSS、HTML5；熟悉前端技术（React.JS、Angular、VUE.JS）优先考虑。
了解数据库结构和系统如MSSQL、Oracle。
了解人工智能技术如大型语言模型（LLM）、视觉语言模型（VLM）等
有使用商业智能（BI）工具如Power BI、Tableau的经验。
英语（写作和口语）流利。
了解SAP系统优先（如仓库管理系统WMS、运输管理系统TMS、财务跟踪系统FTS）