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職務說明】 1.大數據應用平台開發，建構以客戶為中心的數據平(中)台。 2.開發數據處理流程 Data Pipeline、ETL及數據(模型)流程自動化，發展自動化數據處理流程。 3.數據/模型服務 API 開發。 4.數據/

1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results. 3. Build new and enhance existing tools to strengthen the internal toolbox of the Data

身為SRE工程師，你必須確保我們的系統架構穩定且高效運行，也必須與工程團隊維持良好的溝通 工作內容： 1. 監控與告警系統之建置與維護，並進行突發事件後續追蹤與分析 2. CI/CD Pipeline 維

1. 設計/開發/維護大數據相關專案, 包含Data Warehouse管理, 負責資料建模、收集、存取與儲存等功能 2. 建立 Batch/Streaming ETL pipeline，並確保數據品質與正確性 4. 維護雲端大數據架構及服務 5. 理解使用者

Responsibilities Design, support, maintain, and upgrade highly performant and tested APIs and internal services using tools like Python, Celery, Kubernetes, MySQL, Mongo, and Redis Migrate our platform and solution to support agnostic deployments. Design, vet, build and deploy scalable data pipelines (spanning data ingestion, ETL, and machine learning analytics) Architect test plans in order to implement maintainable code Interact with backend APIs and optimize responsiveness Research and select

的訂閱服務，主要工作內容： -基於業務面需求規劃資料流程，建立與維護天下集團大數據資料的Data pipeline。 -梳理技術架構與服務，持續優化效能，提高安全性與可靠性。 -維護ETL，執行清洗與轉換資料，提供資