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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

定性 持續迭代並優化資料基礎建設，以完善整個商業智慧系統 我們希望你有的經驗跟特質 對 Big data 和 Data-driven engineering 有極大的熱情 瞭解 ETL 或 ELT 的流程，並具備 Data Modeling 跟開發 Data Pipeline 的能力 具備與產品 / 行銷

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

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

【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

#About the Team Fazz’s Data Engineering teams are responsible for creating and maintaining the infrastructure that runs the company’s data pipeline, and optimizing the flow and collection of data for the critical business analytics and AI/data-driven solutions. The success of the team relies on the high engineering standard and the adoption of cutting-edge technology that empowers the organization to be agile. Data engineering forms the foundation to ensure that precious data

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