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1. Participate in the construction of offline and real-time data warehouses for AI intelligence direction businesses.
2. Participate in optimizing the data ETL process and solving technical issues related to massive data ETL.
3. Participate in data governance work involving complex data link dependencies and diverse data ecosystems.
4. Participate in the construction of data privacy compliance for AI intelligent products.
5. Participate in the application process analysis for the design of AI intelligent products.
1. Proficient in the methodology of data warehouse implementation, with an in-depth understanding of data warehouse systems, and have supported practical business scenarios.
2. Strong coding skills, familiar with SQL, Python, Hive, Spark, Kafka, and multiple others, with experience in processing data of TB scale or larger.
3. Sensitive to data, meticulous, and skilled at discovering anomalies from data.
4. Excellent communication skills, with the ability to effectively combine technical and business aspects.
5. Experience in data security privacy compliance construction is preferred.