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We are looking for Senior Data Engineer to join our hedge fund and manage our data operations. You will be responsible for engaging with various data vendors, designing and implementing data pipelines, and ensuring data quality and security. You will also mentor other data engineers who support the data infrastructure and pipelines of the fund. Responsibilities: Engage with various data vendors to find the best data for the fund’s investment and trading activities Evaluate data quality

【關於我們】 與全球十大平台網站合作，在交易、安全和區塊鏈產品創新方面提供一流的服務體驗。 我們的產品研發團隊自成立以來一直秉承用戶至上和安全至上的理念，產品不斷更新迭代，技術

We, at iPASS, leverage transit and e-payment data to drive our business. Being one of few companies powering Taiwan's main transportation, iPASS is uniquely positioned in the market as the cornerstone of the e-payment ecosystem. Your role is crucial in helping the team investigate the data and provide analytical reports to support business decisions. You will also be instrumental in developing a flexible dashboard or API for third parties. Let's stay excited

永慶房產集團為房仲產業龍頭，用科技創新引領創新變革，歡迎IT領域的優秀夥伴加入! 工作內容： 規劃集團資料流程，達成資料整合綜效。 建置企業數據中台，管控集團資料倉儲品質與正確性。 與資

【工作內容】 1.設計遊戲：包含設計遊戲規則、遊戲主題、遊戲圖案、賠率表等。 2.計算機率：根據遊戲規則計算出遊戲的各種機率與數據。 3.分析市場數據將數據與模擬結果做交叉比對，找出正

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.

【Responsibilities】 1. Create and maintain optimal data pipeline architecture, assemble large and complex datasets to meet functional/nonfunctional business requirements. 2. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc. 3. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry l

▸ Participate in the entire development lifecycle of the MLOps platform ▸ Collaborate with Front-end developers to integrate user-facing elements with server side logic ▸ Collaborate with data engineers and data scientists to assist in the practical implementation of complex domain knowledgecould accelerate the ML dev cycle (MLOPs). ▸ Ability to adapt flexibly to various unforeseen and unfamiliar challenges ▸ Build reusable code and libraries for future use

和維護高效的數據流程和數據工具，並與跨功能團隊合作實現目標，為組織的關鍵決策提供強而有力的支持! What You’ll Be Doing: • Design, implement and work on Data engineering , contribute and suggest Data Architecture, Data Quality, Data Governance across pods • Establish data governance processes, procedures, policies, and guidelines to maintain the integr

1. 規劃並導入AI、大數據、邊緣運算數據架構及新技術，制定使用技術規範及標準作業流程，整體技術發展輪廓與藍圖。帶領及管理技術開發團隊。程式設計開發撰寫經驗至少4年以上。 2. 熟悉