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Engineer jobs in IT - Big Data

  • 大数据工程师（推荐系统/搜索引擎）

    全职

    Drive large-scale data architecture and optimize high-performance systems as a Big Data Engineer on Recommendation Architecture Team. Use your expertise in big data frameworks to build innovative, scalable solutions that enhance user experiences for millions globally.

    • My client is a global leader in tech industry
    • This opportunity offers competitive salary package
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  • 高级数据工程师-全球品牌出海专家

    Shenzhen
    全职
    RMB660,000 - RMB800,000 per year

    高级数据工程师负责开发和优化数据管道，支持媒体的技术需求。该职位需要熟练的数据处理技能和对技术解决方案的深入理解。

    • 跨境电商与全球品牌出海专家
    • 国际化平台，成长无限
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  • 数据平台开发工程师 -- 国内知名公募基金公司

    Beijing
    全职

    该岗位将负责公司数据平台的整体架构设计与搭建，涵盖数据湖、实时计算及查询优化，直接支持业务决策与创新。您将作为独立角色，承担主要数据项目，汇报至技术负责人。

    • 参与核心数据平台架构设计，直接推动金融科技转型
    • 独立负责关键数据项目，技术决策空间大
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Other users also applied for

  • Global MNC Platform- Sr manager, Data&AI innovation project lead

    China
    全职

    This role offers an exciting opportunity for a professional to work with data within the retail industry. The position is based in Shanghai and involves contributing to the success of the technology department.

    • big MNC platform
    • core Data & AI team China
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  • Globally well-known company - Data Lead

    Shanghai
    全职
    RMB800,000 - RMB1,000,000 per year
    • You will work on various aspects of Big data analytics and development, Data Management, Governance and Information Architecture.
    • Design and develop data solution architecture on scalability, good performance and flexibility throughout the entire data life cycle (ingestion, storage and consumption
    • Define and prioritise product requirements, user stories, and acceptance criteria for data and analytics products and ensure what was agreed gets delivered
    • Globally well-known MNC Platform
    • Great career development, Big data lead
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  • 数据信息总监-医药行业

    Shanghai
    全职

    管理营销中心 数据和系统

    • 20年历史公司，销售额十亿左右
    • 管理6人团队，汇报给营销中心负责人
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  • 数据分析负责人/Data analytics lead

    Shanghai
    全职

    1、 构建并优化平台物流数据看板体系和数据分析体系，提升业务决策效率

    2、深度分析看清业务问题、机会及破局点，协同横向优化

    3、 联合数据团队,构建多维分析、离线建模可视化等分析工具

    • 跨境物流头部企业
    • 业务高速发展，发展潜力大，带团队
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