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Data Engineer

Zeal Group · Shenzhen, Guangdong, China

🌐 远程📅 22/08/2026
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负责企业数据仓库的设计、开发、维护与优化,搭建符合业务需求的数仓架构,实现多源数据的整合、清洗、转换与加载(ETL),保障数据的准确性、完整性和时效性,支撑企业数据资产沉淀与治理工作。 负责BI报表全流程开发,包括需求梳理、指标定义、数据提取、可视化制作,设计交互式仪表盘、常规报表及专项分析报表,满足业务部门的数据分析与决策支持需求,将 raw 数据转化为可落地的业务洞察。 运用Python或Java语言进行数据开发、脚本编写,优化数据处理流程,提升数据开发效率与系统性能,解决数据开发及BI报表制作过程中的技术难题。 配合业务部门梳理数据需求,提供数据咨询与技术支持,推动数据驱动业务决策,参与数据质量监控与优化,建立数据校验机制,处理数据异常问题。 参与跨部门协作项目,使用英语作为工作语言开展沟通,包括对接海外团队、查阅英文技术文档、撰写英文技术报告等,确保跨区域、跨团队的数据相关工作顺畅推进。 关注行业数据技术发展趋势,引入合适的技术与方法,持续优化数仓架构、ETL流程及BI报表体系,提升数据服务能力。 Requirements 本科及以上学历,计算机、数据科学、统计学、信息管理等相关专业优先; 具备5年及以上数据BI开发与数据仓库开发相关工作经验,有完整的数仓搭建与BI报表全流程开发实战经验,熟悉数仓分层建模(ODS、DW、DM层)方法论者优先。 精通SQL,熟练使用主流数据库(如MySQL、Oracle、Hive等),具备复杂SQL编写、优化及数据库性能调优能力; 熟悉Python或Java编程语言,能够运用其进行数据处理、脚本开发、ETL流程优化,有相关项目实战经验; 熟练掌握BI工具(如Tableau、Power BI、FineBI等),能够独立完成从数据提取、清洗到可视化报表制作、仪表盘设计的全流程工作,了解可视化设计最佳实践者优先; 熟悉ETL工具(如Kettle、Informatica等),掌握数据抽取、转换、加载的核心逻辑与优化方法,能够处理复杂数据集成场景; 具备良好的业务理解能力,能够快速梳理业务需求,将业务需求转化为数据开发与BI报表需求,具备指标体系构建能力者优先; 熟悉Big query生态者更佳。 英语可作为工作语言,能够熟练阅读英文技术文档,具备良好的英语听说读写能力,可独立使用英语开展跨部门、跨区域沟通,完成英文邮件、技术报告撰写及会议沟通等工作。
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For people searching Engineer

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