Data Scientist
1. Responsible for the design, development, and optimization of big data ETL processes, ensuring the accuracy, completeness, and timeliness of data. Understand business requirements, participate in data warehouse architecture design, develop reasonable ETL solutions, and meet the data processing requirements of different business scenarios. 2. Spark application development uses Spark for large-scale data processing and analysis, and develops Spark applications,



