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Responsibilities:
- Responsible for the company's enterprise big data platform, building a hierarchical, flexible, and scalable enterprise big data platform.
- Understand business analysis requirements, design and develop corresponding data warehouses/data marts, ETL development, and optimization work, to complete the construction of a structured, flexible, and scalable data warehouse.
- Responsible for data warehouse model design, report development, and maintenance.
- Responsible for the performance of the data warehouse system, model performance design, and optimization.
- Work together with the data product manager to solve technical problems related to business data analysis, data reporting, and data anomalies.
- Deeply understand business models, data models, and system models to improve system productivity.
Requirements:
- Bachelor's degree or above in computer science, mathematics, or statistics; familiar with the internet industry, with over 3 years of experience in DW/ETL/BI work; proficient in at least one mainstream ETL/BI solution.
- Proficient in data warehouse architecture and principles, with experience in designing large-scale data warehouse architecture, model design, and performance tuning; proficient in SQL/Hive, with good experience in SQL performance tuning, candidates with Java/Python development experience are preferred.
- Able to proficiently use one or more mainstream databases (such as Oracle, MySQL, etc.), candidates with database design experience are preferred.
- Experience in developing big data distributed computing platforms, familiar with the principles and applications of Hadoop, Hive ecosystem products.
- Serious, responsible, and careful at work, with a good team spirit, good analytical skills, and communication skills.
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