岗位描述： 为AI建模提供高质量、可追溯、易使用的工业数据，专注于数据的采集、清洗、存储、管理与特征工程 数据库的创建、用户权限管理、日常维护，数据库备份与恢复操作 工业多源数据（传感器时序数据、设备日志、图像、工艺参数等）的采集、清洗、融合与标准化处理 技能要求： 精通Python，熟练使用Pandas、NumPy进行数据清洗、转换与特征工程 熟悉ETL流程设计与数据库搭建 精通SQL，能独立完成多表关联、聚合统计、窗口函数、子查询等复杂数据提取 熟悉关系型数据库（MySQL/SQL Server/PostgreSQL），掌握表结构设计、索引优化 了解机器学习模型训练全流程数据处理逻辑 熟悉Spark/Flink/Hadoop等分布式处理框架 了解工业数据特点（高噪声、高缺失、时序性强、多源异构） 岗位要求： 本科及以上学历，计算机、软件工程、人工智能、数据科学、统计学、自动化等相关专业 3年以上数据处理经验 有制造业数据处理经验优先 Come join our global, inclusive & diverse team Our purpose is to improve the quality of life of everyone we touch through our
Key responsibilities The Cloud and Data Engineer will be responsible for the development, implementation, operation, maintenance, and support of the data, middleware, and IT infrastructure used by R&D units across Novo Nordisk, both on-premises and in
Location:CN-Shenzhen-HyQ Shift:Standard - 40 Hours (China) Scheduled Weekly Hours:40 Worker Type:Permanent Job Summary:This role is a critical part of the Enterprise data team involved in the replacement of legacy ETL tool by providing key data engineering activities
Work ScheduleStandard (Mon-Fri) Environmental ConditionsOffice Job Description We are seeking a highly skilled Senior Data & AI Platform Engineer to support and evolve our China data ecosystem. This role combines data platform operations, AI solution support,
At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone. As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because