Business Technology-Senior Data ETL Engineer

1. Business data products (business consultant, data bank, etc.), For tens of millions of merchants on Taobao and Tmall, on the one hand, it provides full-link operational data on traffic, products, transactions, etc. from a store perspective to help merchants do business on Taobao and Tmall. On the other hand, it accumulates global consumer data from a brand perspective. Carry out consumer analysis according to AIPL and other models, and connect with various channels of Taobao and Tmall to complete consumer reach applications 2. Build the group's core data assets, deeply integrate data business with new retail business, and provide crowd operations, product management, and category operations. , content operations, online and offline linkage operations and other data services, using data capabilities such as data, analysis, algorithms, and productization to provide a complete set of data services and data business solutions for the group's new retail scenarios 3. Construction The data stability system of the data center builds rich technology + business metadata, improves the data engine and services, and focuses on the development of online and service-based guarantee methods and the development of two scenarios that guarantee strategies can be drilled structured business scenarios , abstract common business logic, accumulate reusable data insight capabilities, and improve the scalability of data architecture through templates and components, thereby supporting the rapid iteration and horizontal expansion of data products. Key capabilities: 1. Responsible for real-time and offline data development of business consultant/data bank. Priority will be given to those with experience in data development in the fields of content (short videos, live broadcasts, etc.) and services (evaluation, DSR, after-sales, etc.) 2. Responsible for business consultant/data bank Data stability, experience in commercial data product development is preferred 1. Engage in the data warehouse field for more than 1-2 years, familiar with data warehouse model design and ETL development, and have experience in massive data processing. Priority will be given to data construction experience in e-commerce or channel fields 2. Familiar with knowledge and skills in the field of data warehouse and real-time stream calculation base, including but not limited to: data mart design, stream data calculation, data management, data quality, and data services 3. Sensitive to data, with excellent business understanding, data analysis and problem-solving skills, and strong enthusiasm for applying the results of big data and analysis algorithms to actual business scenarios to generate commercial value 4. Possess good self-motivation and stress resistance, good communication skills and teamwork spirit, and certain organizational and coordination skills 5. Familiar with Hadoop ecological related technologies and related development, have certain development capabilities in JAVA and Python languages, and have machine learning algorithms and non- Capabilities such as structured processing and knowledge graphs will be given priority.