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數據工程師將負責開發包括ETL（數據提取，轉換，加載，集成等）在內的數據工程功能，並優化端到端分析工作流程，平台和商業化產品的源代碼。 工作職責： •在分析工作流程中設計，實施和優化數據工程

[主要職務內容] 依據專案需求進行商業理解、數據理解、以及數據準備。 數據品質評估 數據清洗，依ETL (Extract / Transform / Load) 流程，進行資料處理。 數據分析與資訊視覺化工程

Get data from both internal and external sources via API or crawlers. Perform data analysis to help marketing/business teams to answer business/operational questions. Build and optimize models for business decision making. Interpret trends or patterns from complex data sets by using statistical and visualization tools. Conduct data analysis reports to illustrate/visualize the results and insight. Build analytics tools that utilize the data pipeline to provide insights to customer needs

數位轉型MarTech/SerTech/SaleTech、網路商城、公司內部服務等智慧功能開發

1. 使用 Python 作業 2. 主要工作內容為整理資料以及簡單的功能編寫 3. 了解基本數據概念 4. 協助分析師進行專案研究

1. 主要以 Python 開發 2. 善用資料並採用不同的分析技術，建置預測模型 3. 參與過機器學習或深度學習專案

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。

1. 工作內容主要為操作後台系統 2. 依照公司內部流程作業 3. 本工作為三班制

Infocast is looking for a data engineer to help optimize, expand, test, and maintain the data pipeline architecture across all of our databases and for our upcoming products. You will be working closely with our software engineers and data scientist to understand and implement database requirements, troubleshoot issues, and improve data reliability and quality. The ideal candidate should have a solid understanding (both theoretical and practical) of machine learning techniques, and be comfortabl

- We are looking for experienced Machine Learning/Deep Learning engineers. - This is a technical role, and it requires a high willingness to learn state-of-the-art AI techniques and a skill to apply AI techniques to business applications/processes. - Participate in the engineering life-cycle, including writing production code, conducting code reviews and deploy machine learning solutions into production. - You’re not just looking for a job, you’re looking for an innovative