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Main fields of development are : Classify posts and accounts from 12 sm/fintech platforms covered in order to get nuanced sentiment (e.g. bullish bots or long-short FOMO) towards more than 20k assets (stocks, etf, crypto) Classify accounts by their professionalism and stance to certain market strategies

1. 熟悉熟Oracle SQL,(PL/SQL)執行資料轉換及驗證。 2.熟练使用DataStage、Informatica等相關開發經驗 3. 配合公司專案需求至客戶端駐點銀行服務。

We are in search of a Senior Data Engineer to join our team. In this role, you will be responsible for designing and optimizing our data pipelines, with a focus on planning the architecture for user data return from the product end. Responsibilities: Design and manage data pipelines, ensuring high quality and reliability. Take charge of planning the architecture for user data return from the product end. Develop and maintain data processing and ETL pipelines using

金、慶生會、員工旅遊/家庭日、尾牙 公司有交通接駁車 工作內容: 1.BI報表與輸入系統維運 2.ETL排程管理監控與效能調教 3.需求系統規劃設計 4.熟悉MS-SQL(SSIS、SP、Func、CUBE、SQL語法...) 5.

可遠端、self-driven self-learning 自主文化。 先理解現有原始碼( Python, PHP, JavaScript )，負責 AWS DevOps 運營，改善自動化和排除各種突發狀況。 工作過程中需不斷習慣處理各式 ETL (資料串接 轉換 分析)，配合產品團隊，開發前端與後端應用

Handshakes by DC Frontiers is an award-winning DataTech company that leverages data to empower safe, informed business decisions. We are located in 7 cities and are expanding our presence across the globe. We are hiring an experienced Data Engineer to be based in our Singapore office. The Data Engineer will be part of our Data and AI team that is involved in building innovative products on cutting-edge technologies to solve business problems. As a

At Aperia, we rely on a dynamic database team. We’re seeking a Database Developer who is ready to work with new technologies and architectures in a forward-thinking organization that’s always pushing boundaries. This person will have SQL development background and SSIS/ETL development experience. The ideal candidate has experience in SQL development, SSRS, SSIS, ETL, Power BI, and Azure Data Factory. Core Responsibilities Designs, builds and implements relational databases. Reviews T

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

料市集設計、開發、管理維護，用資料導向概念提升行銷業務，並導入系統以加強各項資料應用 5. ETL問題追蹤管理及系統文件撰寫，結構化及非結構化資料處理與整合 6. 系統規劃與維運 7.

可遠距、GPT-oriented self-learning 自主文化 理解現有原始碼 (Python, JavaScript)，負責 AWS DevOps 運營，導入 GPT 改善自動化和排除各種突發狀況 工作過程中需處理各式 ETL (資料串接 轉換 分析)，配合產品團隊，開發前端與後端應用程式 走