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About the Role Roku is looking for a Senior Business Intelligence Engineer (Sr. BIE) to play an instrumental role in helping Roku continue its success by providing end-to-end business intelligence solutions that democratize data across the business. You will work closely with analysts, data engineers, and business stakeholders to understand business questions, write robust pipelines to create analytical data assets, and use visualization to create informative reports and dashboards that allow st

About the Role Roku is looking for a Business Intelligence Engineer (BIE) to play an instrumental role in helping Roku continue its success by providing end-to-end business intelligence solutions that democratize data across the business. You will work closely with analysts, data engineers, and business stakeholders to understand business questions, write robust pipelines to create analytical data assets, and use visualization to create informative reports and dashboards that allow stakeholders

About the Role Roku is looking for a Manager, Business Intelligence (BI) to play an instrumental role in helping Roku continue its success by leading a team of Business Intelligence Engineers providing end-to-end business intelligence solutions that democratize data across the business. You will work closely with analytics and data leaders to understand business questions and ensure delivery of robust pipelines to create analytical data assets, and visualizations to create informative reports an

Design, build, and maintain core infrastructure database pieces that allow MIFX to scale and support hundreds of thousands of concurrent users. Work on database reliability and performance aspects for MIFX from within the SRE team and Data team, as well as work on shipping solutions with the product. Provide database expertise to engineering teams (for example, through reviews of database migrations, queries, and performance optimizations). Analyze solutions and implement best practices for our

BI系統 - 更新與維護Data API - 維護資料品質並建立監控機制 - 串接、整合開放資料 - 其他維運：GitLab、Google Compute Engine、Composer(Airflow)、BigQuery 【推動機器學習模型與產品整合】 - 規劃並建置機器學習模型的訓練環境 - 部署模型，與產品開發

1.安裝、建置、管理大數據相關系統，如：Hadoop、Spark、Kafka、Druid、Metabase、MinIO、Airflow、Air Byte等。 2.介接數據源，撰寫與執行ETL數據轉換工作，設定數據流 (data pipeline)。設計數據模型 (data model)。 3.訪談客戶需求及定義商業問題、將商業問題

徵選擇、資料前處理等) 2. 機器學習或其他相關演算法開發, 維運 3. 機器學習模型改善以及效能調校 4. 開發以及部署高度可擴展的機器學習模型 5. 使用資料整合平台(如AirFlow) 建立 MLOps 管線