1. Design, develop, and maintain data processing workflows and pipelines to ensure timely, accurate, and reliable data. 2. Collaborate with business teams and data analysts to understand data requirements and design corresponding data models and ETL processes. 3. Develop and optimize the data extraction, transformation, and loading (ETL) process, obtaining data from different data sources and loading it into a data warehouse. 4. Design and implement data quality inspection and data cleaning processes to ensure the accuracy and consistency of data. 5. Optimize the performance and troubleshoot data warehouses to ensure the stability and availability of the data platform. 6. Write and maintain corresponding technical documents and operation manuals to ensure the maintainability and scalability of the system.

1. Bachelor's degree or above, major in computer science, information technology, data science or related fields is preferred. 2. At least 2 years of experience in data development or related fields, with solid skills in data processing and programming. 3. Familiar with SQL and at least one programming language, such as Python, Java, etc., able to write efficient data processing code. 4. Familiar with ETL tools and technologies such as Informatica, Talend, Apache NiFi, etc., with practical development experience preferred. 5. Having good communication skills and teamwork spirit, able to effectively communicate and collaborate with different teams and departments. 6. Has a certain level of attention to data quality, able to design and implement data quality checks and data cleaning processes. 7. Having good problem-solving and analysis skills, able to quickly locate and solve technical problems in the data processing process.