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【Company Highlights】 🪄獲得 Cheers 2018 新世代最嚮往企業殊榮，自 2006 年來連續獲獎 👥期許成為台灣全生態網路企業，組織達 1000+ 人 👾這個職位位於總部的數據團隊，積極與Data Engineer合作、累積Data相關技能樹 【Job Description】 使用 terraform 管

【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

公司介紹 LnData專精於技術，透過創新的軟體服務平台與公正第三方的角色，成為串接品牌、媒體、代理商與消費者的關鍵數據樞紐，讓行銷計劃中的每一次曝光、觸及、與互動能完美呈現，以資料科學的