Job Responsibilities 1. Conduct big data requirement development by collaborating with business units or product managers to thoroughly understand operational needs, analyze data requirements specifications, and deliver rapid iterative development. 2. Build comprehensive data tables to provide self-service data analysis tools, metrics, tagging systems, and user profiling services. 3. Respond promptly to system maintenance requests to ensure timely data metric generation and data accuracy. Qualifications 1. Bachelor's degree or higher in computer science or related fields with over 3 years of experience in data warehouse ETL systems. 2. Proficiency in common data warehouse modeling theories and hierarchical architecture design, with expertise in high-concurrency systems, high stability requirements, and large-scale data architecture solutions. 3. Familiarity with Hadoop ecosystem technologies including component principles of Hadoop, Spark, Flink, and Hive; prior experience with OLAP tools like Doris is preferred. 4. Fluent in Python programming, with proficiency in at least one programming language (Java preferred). 5. Expertise in mainstream big data platforms (preferential experience with Alibaba Cloud/AWS). 6. Proficient in MySQL database operations and SQL optimization, with knowledge of NoSQL databases including MongoDB and Redis. 7. Experience in report generation development. 8. Strong background in machine learning or deep learning technologies (preferred).