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We are in search of a Senior Data Engineer to join our team. In this role, you will be responsible for designing and optimizing our data pipelines, with a focus on planning the architecture for user data return from the product end. Responsibilities: Design and manage data pipelines, ensuring high quality and reliability. Take charge of planning the architecture for user data return from the product end. Develop and maintain data processing and ETL pipelines using

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

【邀請您將履歷同步上傳至華邦官方網站，將使您的履歷優先被主管看見】 此職缺履歷登錄網址: Link [Summary] Winbond is building a data intelligence team to increase productivity, data capability, and business impact. This team is in charge of enterprise data platform, AI and BI solutions to empower not only business operation but also strategic

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

【工作內容】 與產品團隊和前後端工程團隊合作，確保資料品質與產出 創建與維護Data Infrastructure Data Pipeline & ETL/ELT Data Product開發與維護

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

品、行銷，以及廣告相關的資料分析師以及商業團隊進行合作，透過數據來探索問題、規劃後續的 Data pipeline 的設計，以符合使用者的需求 根據不同的資料來進行 ETL/ELT 的實作，同時確保資料的品質與穩

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