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1. Responsible for real-time related to the basic data of Taobao product library , offline data warehouse design, development, performance optimization and development of related business indicators, providing unified, reliable and efficient real-time + offline data services for interactive ad hoc analysis of business and AB experiment effect analysis. 2. Responsible for the mining of dimensional data such as products and users and the accumulation of data assets, and provide rich dimensional drill-down support for AB experimental analysis and business opportunity exploration. 3. In-depth understanding of e-commerce related businesses, understanding and mining of needs based on data, using a variety of analysis methods and combining business goals to conduct data analysis, mining business problems, and providing information for platform mechanisms, operational strategies, product optimization directions, commodity supply, etc. Provide strategic suggestions and promote implementation. ,1.Bachelor degree or above in big data or computer related major. 2. Proficient in SQL and familiar with knowledge in the field of data warehouse modeling, including but not limited to: data mart design, flow data computing, data management, data quality, and data services. Familiar with Hive and Flink, real-time big data R&D experience in actual business is preferred. 3. Those with experience in OLAP R&D such as ClickHouse/Hologres are preferred, and those with experience in data construction in the e-commerce field are preferred. Those who are familiar with Hadoop ecological related technologies and have relevant development capabilities are preferred. 4. Sensitive to data, have excellent business understanding, data analysis and problem-solving skills, and have a strong enthusiasm for applying the results of big data and analysis algorithms to actual business scenarios to generate commercial value.
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