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利在公司內流動，被各所部門、同事、甚至終端使用。 « 在團隊中你需要負責的工作內容 » ✅ 建立並維運Data Pipeline(streaming & batch)： 資料是公司的血液，我們就是建立並維護血管通暢的人。 您需要與資料分析師/科學家

Superb technical, research and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our business team. We want people who innovate and love solving hard problems. Key responsibilities: - Fine tune and optimize LLM's - Building and maintaining data pipeline including data processing and data analytics - Developing and maintaining efficient and sca

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

1. Conduct data science projects to help clients drive solutions and solve business problems from various domains using a wide range of data science techniques, including but not limited to Machine learning, data visualization, statistics, and so on. 2. Design, develop and maintain scalable automated machine learning and data science pipelines and applications to empower users to extract valuable results. 3. Build new and enhance existing tools to strengthen the internal toolbox of the Data

1. 設計/開發/維護大數據相關專案, 包含Data Warehouse管理, 負責資料建模、收集、存取與儲存等功能 2. 建立 Batch/Streaming ETL pipeline，並確保數據品質與正確性 4. 維護雲端大數據架構及服務 5. 理解使用者

【 Backend-end Engineer (Data)】 【 Job Summary】 As a Python Engineer at Mlytics, you will play a pivotal role in designing, developing, and maintaining data solutions that power our data-driven initiatives. Leveraging your expertise in Python programming, database management, and cloud architecture, you will be responsible for building robust data pipelines, optimizing data processes, and developing RESTful APIs to enable seamless data access and integration. Collaborating closely with analysts, f

誠徵習慣系統性分析問題，追求卓越程式碼品質，非常在意產品能解決客戶痛點的你加入我們！ 【主要工作內容】 1. 與 PM , Data Pipeline Engineer 協作，實作資料串接、讀取到前端網頁 / App 的 UI 呈現 ( 前後端皆使用 JavaScript

群系統、自動化行銷系統、廣告媒體平台串接...等系統功能，與開發團隊的產品經理、 UX 設計師、Data Pipeline Engineer、後端工程師密切合作，藉由數據驅動 91APP 的客戶提高電商交易轉換率和會員貢獻度，並從數

YOUR ROLE- Owns the responsibility for the adoption of digital & data technologies across all business. Deliver country level data platform align with global data strategy. Deliver country level advance analytic projects, provide data architect & technical consultancy for various business initiatives, build prototype to enable data driven business. Drive operational excellence, define continuous improvement around data governance, define reusable data pipelines while ensuring delivery meets comp

1. Develop a highly concurrent and scalable backend service using microservices 2. 3rd-party API integrations 3. Optimize applications and data pipelines for maximum performance and scalability 4. Foster a positive engineering culture by setting the standard and leading by example