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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

資料倉儲系統之資料分析、整理與資料處理之系統分析與設計 DW / DM 規劃設計 專案系統需求訪談、分析、開發及測試作業規劃、執行、與管理

【工作內容】 與產品團隊和前後端工程團隊合作，確保資料品質與產出 創建與維護Data Infrastructure Data Pipeline & ETL/ELT Data Product開發與維護

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。

成工作。我們熱愛新想法與導入新科技，任何idea以及嘗試，我們都很熱意討論。 工作內容： 1. Develop and design data / backend service systems for business related purpose. Develop, operate, and monitor ETL for data collection, cleansing, processing, storage, and analytics Design, build, and maintain APIs, services, and systems. Innovate and implement tools to enhance internal team

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

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

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

1. ETL處理：負責基於 Aws Athena、BigQuery 系統進行數據採集、清洗、轉換處理工作。 2. 系統維​​護：負責 Athena、Bigquery 的數據系統維護，包括數據維護、系統維護、文檔處理以及日常問題排查。 3. 查詢、可視化：負責基於 Athena QuickSight

理技術開發團隊。程式設計開發撰寫經驗至少4年以上。 2. 熟悉數據開發相關技術SQL，NoSQL，Hadoop/Spark，ETL，資料串流 Kafka和Elasticsearch。 3. 熟悉DevOps文化，對於 CI/CD方法、工具、流程與自動控制有經驗。 4. 有智慧製