Big Data jobs

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.

Join a global lead tech company as a Lead Data Warehouse Engineer, where you'll manage and optimize data infrastructure, focusing on real-time and batch data integration. Lead a talented team to build efficient data products and drive smarter business decisions with advanced data techniques and analytics.

• 参与大数据平台的整体架构设计，覆盖数据采集、存储、计算、分析及可视化全链路，确保系统高可用、高性能及可扩展性。
• 根据业务需求，选择阿里云（如MaxCompute、EMR、DataWorks）或 AWS（如Redshift、EMR、S3）等云平台技术，结合开源组件（如Hadoop、Spark、Flink、Kafka、HBase）实现技术方案。

一家大型工业公司招聘大数据架构师

1. Led data science initiatives across multiple business units (Buying, Finance, Clienteling, Digital) to support commercial decision-making through predictive modeling and customer analytics

2. Projects included traffic forecasting, sales prediction and pricing simulation, customer segmentation, and model deployment using MLOps tools in AWS

Strategic tax role with global exposure and executive visibility.

一家外资零售快消行业巨头的ETL开发岗位，提供你在快节奏环境中与年轻的团队一起成长学习的机会，帮助完成在大陆地区核心项目的数据库的搭建。

1、数据分析 - 结合业务痛点通过数据分析找到生意现象的本质原因，及推荐决策和期待的决策效果；

2、发展战略制定 -结合业务发展目标和现今痛点，定位并量化业务未来的发展主要动力，能制定未来短期中期和长期业务发展规划和战略，用数据指导业务发展战略；

This role provides you with the opportunity to grow together with a young team in a good environment, and assist in completing the AI project landing for various BU groups in the Asia-Pacific region.

Job Responsibilities:

• Data Analysis: Perform in-depth data analysis to identify trends and insights.
• Product Development: Drive the development of data-driven products and services.
• User Experience: Ensure data products meet the needs of end-users and enhance their experience.

• Develop and maintain data models that align with business requirements and technical constraints.
• Collaborate with cross-functional teams to define data architecture strategies.
• Ensure data integrity, security, and compliance with industry standards.
• Lead data integration projects and manage data migration activities.

• 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

负责公司的业务数据BP，与各业务和技术部门密切合作，推动数据建模、数据开发、数据质量的提升，协助制定数据驱动的业务策略。

数据产品经理负责在快速消费品（FMCG）行业中开发和优化技术解决方案，以支持业务增长和运营效率。此职位位于上海浦东，需具备对数据产品管理的深刻理解和实际操作能力。

工作职责：

负责大数据分析咨询业务的售前客户需求沟通和理解，熟悉企业经营方式，深刻理解企业营销、销售、产研、财务、售后等至少两个以上领域，基于公司的大数据/AI产品和服务为客户定制解决方案

工作职责：
1. 主要职责： 构建金融支付核心产品的关键业务指标体系，监控数据异常，分析潜在问题，及时识别业务风险，并提供专业建议以支持决策。
2. 数据驱动决策： 与业务团队合作，进行数据建模和迭代优化，运用AB测试等方法评估改进效果，推动业务部门的数据驱动决策。

• 负责公司在海外的产品和服务销售，帮助公司触达更多的客户，完成订单，为结果负责。

销售经理负责推动销售团队的业绩增长并建立长期客户关系。此职位需要在专业服务行业中具备出色的销售策略和团队管理能力。

1. 参与创新：与团队协作，设计并开发针对供应链决策的先进算法，包括但不限于高级计划系统、需求预测和库存策略。
2. 项目推进：负责算法项目的全周期管理，从构思到实现，确保按计划和高标准完成，同时在项目实施中进行持续的优化。

• 拥有计算机科学、数学、统计学或相关领域的本科及以上学历。
• 拥有计算机科学、数学、统计学或相关领域的本科及以上学历。熟练掌握至少一种编程语言，如Python、Java或C++。
• 有机器学习和数据处理的实际项目经验。
• 有机器学习和数据处理的实际项目经验。对大数据技术有深入理解，熟悉Hadoop、Spark等数据处理框架。
• 对大数据技术有深入理解，熟悉Hadoop、Spark等数据处理框架。具备良好的团队合作精神和沟通能力。