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*** If you're interested in this position, please email your English resume to HR Janet. ([email protected]) *** 【About Us】 SHL Medical is the world-leading solution provider in the design, development, and manufacturing of advanced drug delivery systems with more than 5000 employees worldwide. Our customers include top pharmaceutical and biotech companies from around the globe that require innovative devices such as auto injectors or pen injectors to effectively deliver their

About us Gogolook is a leading TrustTech company established in 2012. With "Build for Trust" as its core value, it aims to create an AI- and data-driven global anti-fraud network as well as Risk Management as a Service. From multi-communication to fintech, and SaaS, Gogolook creates trustworthy empowerment with the use of technology in various fields. A founding member of the Global Anti-Scam Alliance (GASA), Gogolook has also teamed up with a number

Analytics Engineer 將與產品或行銷相關的資料分析師以及工程師進行合作，透過數據來探索問題、規劃後續的 Data Pipeline 實作，最後和資料工程師一起協作提供 end-to-end 的 data solution，以擴展公司各部門的數據分析能力，並

【專案介紹】 主要負責金融雲端數據系統開發，團隊共同完成大型專案， 配合專案經理規劃時程完成工作，與數據架構師協作開發。 【在這裡你可以】 ● 參與金控資料倉儲專案，獲得更多銀行雲端數據

About the role Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. As a Staff Engineer on the Data Engineering Team you’ll be working on some of the hardest problems in the field of Data, Cloud and Security with a mission to achieve the highest standards of customer success. You will be building blocks of technology that will define Netskope’s future.

The Data Platform team enables our customers to ingest and perform real time analytics on critical security insights and intelligence data stored in our vast Data Lake and empower internal engineering teams to leverage the best datastore technology for their needs. Our Big Data technology stack consists of Kafka, Google PubSub, ClickHouse, Google BigQuery etc. We’re looking for software engineers with a background in distributed systems and are excited about the opportunity to work on large-scal

About the role The Data Engineering team builds and optimizes systems spanning data ingestion, processing, storage optimization and more. We work closely with engineers and the product team to build highly scalable systems that tackle real-world data problems and provide our customers with accurate, real-time, fault tolerant solutions to their ever-growing data needs. We support various OLTP and analytics environments, including our Advanced Analytics and Digital Experience Management products.

●負責數據&AI分析平台設計規劃/開發建置 ●負責數據流程(pipeline)開發設計。 ●負責數據分析支援協作 ●具備實驗設計能力推動Data Driven Decision文化

1.進行各類資料串接、爬取，以擴充及完善資料倉儲 2.規劃、設計、開發自動化ETL流程與監控維護機制 3.調研及建置自動化機器學習機制

1. 進行各類資料串接、爬取，整合及收集內外部資料 2. 資料清理流程維護及優化 3. 資料分析協作與資料模型產出 4. 推薦服務邏輯參數調校與維運