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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

Analytics Engineer 將與產品或行銷相關的資料分析師以及工程師進行合作，透過數據來探索問題、規劃後續的 Data Pipeline 實作，最後和資料工程師一起協作提供 end-to-end 的 data solution，以擴展公司各部門的數據分析能力，並

citiesocial 於2011年成立，專注為消費者精選世界各地的居家、科技與休閒好物，有感升級生活享受，並展現自我。我們也在2022年攜手緯來電視網，成立了 japan selects 社群購物平台，藉由雙方的專業，協助台灣消費者挖

●負責數據&AI分析平台設計規劃/開發建置 ●負責數據流程(pipeline)開發設計。 ●負責數據分析支援協作 ●具備實驗設計能力推動Data Driven Decision文化

Responsibilities Data Engineer 負責根據分析需求進行資料建模(data modeling)，並建立視覺化平台和資料治理 機制(data governance)，以幫助公司團隊使用這些資料：在產品內提供資料分析功能、在公司團隊內使用資料幫助商業決策等。 你的

Curious about what it’s like to work at the world’s number 1 discovery platform as a Data Engineer in Production IT ? We’re glad you asked! Taboola , the world’s largest content recommendation platform, is hiring a Data Infrastructure Engineer. What are some of the things you do on a day-to-day basis? Determine database structural requirements by analyzing R&D operations, applications, and programming; reviewing objectives with relevant business units; evaluating current systems; Develop databas

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 Data Engineer , you will be expected to build ma

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

At SHOPLINE we are working on very interesting initiatives that would involve using data-mining and machine learning. with the vast amount of data that we currently have and growing exponentially. We will share details during the interview. 【What you'll be doing 】 - Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics - Responsible for data schema management and db performance tuning - Develop backend APIs and maintain data visualization platform f

- 了解電力能源相關領域知識（太陽能、風力、電力平衡調度 等等），以效率為前提，應用 ML 來解決能源領域常見的痛點 - 開發或維護 ML 的相關產品：太陽能發電預測、太陽能電廠異常偵測、太陽能清洗預