Business Technology-Tmall Technology

1. Responsible for Tmall industry data warehouse and data mart Construction, ensuring data stability and scalability through reasonable data architecture and data model design, and being able to abstract the indicator system to build data products 2. Understand the core data elements (users, merchants, products) and combine it with Tmall business scenario construction Differentiated data assets, using data monitoring, analysis and mining capabilities, are applied in business scenarios such as user growth, product operations, merchant incubation, etc. 3. Have an in-depth understanding of the business, have good business sense, and be able to coordinate business data needs to make judgments and Suggestions, provide systematic solutions and implement them, 1. Have been engaged in the field of data warehouse for more than 2 years, familiar with data warehouse model design and ETL development, and have experience in massive data processing. Priority will be given to those with experience in data construction in the field of e-commerce or supply chain 2. Familiar with knowledge and skills in the field of data warehouse and real-time stream computing, including but not limited to: data mart design, stream data computing, data management, data quality, and data services 3. Sensitive to data, with excellent business understanding, data analysis and problem-solving abilities, and strong enthusiasm for applying the results of big data and analysis algorithms to actual business scenarios to generate commercial value with experience in end-to-end solving business problems Priority