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【 Backend-end Engineer (Data)】 【 Job Summary】 As a Python Data 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 analys

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

COMMEET (https://commeet.co) 擴大徵才，歡迎有熱情之新夥伴加入我們的行列 [工作內容] 1 整理、標記數據，以確保數據的準確性與可靠性。 2 建立/維護/優化資料處理流程與架構(data pipeline)。 3 跟相關的stakeholder合作，解

We are data team in EC LINE TW. First, you will have chance to participate huge scale machine learning and data engineering architectures for recommendation, data pipeline, search application and NLP for EC family services in LINE TW. In addition, you will learn how to cook complete data solution by LINE machine learning, big data and cloud platform. Furthermore, working with diverse roles in EC Data team is challenging and very interesting experience (data engineer, data scientist

這過程中從整合跨雲異質數據源，到建置能萃取使用者洞察的數據儀表板（Dashboard），再到能改善體驗的機器學習應用，都是我們將會遇到的挑戰。我們期待您的加入！ 【職務內容】 1. 開發、維護並監控Data Pipeline

Core Responsibilities: • Development: Build, maintain, and optimize data pipelines and databases. Ensure data quality and efficiency. 開發：建立、維護及優化資料管道和資料庫。確保資料品質和效率。 • Maintenance: Monitor data systems, perform backups, and keep databases up-to-date and secure. 維護：監控資料系統，進行資料備份，保持資料庫更新

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

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

務的產品策略思維，打造用數據賦能零售業者的 SaaS 產品。 【實際接觸到的工作內容】 1. 與 Data & Martech 產品團隊的產品經理、 UX 設計師、前端 Frontend engineer、後端 Backend Engineer 等不同角色密切合作。 2. 打造 91APP 的各項 Data & Martech 產品

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