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台灣
職責: - 彙整內外部資料，運用統計或機器學習技術，結合數位行銷，洞察資料價值 - 使用BI軟體，視覺化分析結果，並提出建議及後續成效追蹤。BI軟體如PowerBI - 了解資料ETL流程(資料萃取、資料轉置、資料清理
1.分析前的數據清洗、處理、特徵探索萃取、以及統計、AI模型的建立與參數優化。 2.資料交換平台(ETL、ESB)執行開發、數據流調度、監控及性能優化。 3.Canner flow 經驗者優先錄取。 4.Java / Spark SQL / Oracle / Stored
[主要職務內容] 依據專案需求進行商業理解、數據理解、以及數據準備。 數據品質評估 數據清洗，依ETL (Extract / Transform / Load) 流程，進行資料處理。 數據分析與資訊視覺化工程
數據工程師將負責開發包括ETL（數據提取，轉換，加載，集成等）在內的數據工程功能，並優化端到端分析工作流程，平台和商業化產品的源代碼。 工作職責： •在分析工作流程中設計，實施和優化數據工程
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
