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1.程式設計、應用系統開發為主。 2.與使用者需求訪談、需求分析與設計規劃，並產製相關文件。 3.學習敏捷式開發管理。 4.歡迎對於程式撰寫有熱情，喜愛與人共同討論的夥伴們一起加入
1.程式設計、應用系統開發為主。 2.與使用者需求訪談、需求分析與設計規劃，並產製相關文件。 3.學習敏捷式開發管理。 4.歡迎對於程式撰寫有熱情，喜愛與人共同討論的夥伴們一起加入
Delphi, Java, JSP, JavaScript, Angular 等程式撰寫。 系統流程改善 系統設置及維護 主管交辦事項
工作內容 開發工具:Vistual Studio 2017 專業要求: C#
ZKVM之研究與開發 學習量化交易知識與免費使用公司自動交易服務 ※ ITRI、Apple、Tesla 技術高手親自指導（Pair Programming），幫助你學習國外最新 SaaS 與 Blockchain 軟體開發之思維與實戰 ※ 表現優異者，有機會轉 Paid Intern / 正職（有開職
【 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
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
=== Responsibilities=== 1. Lead the design, development, and optimization of scalable and reliable RPA backend systems using the Go programming language. 2. Enhance on-premise/cloud application deployment 3. Build and maintain CI/CD pipeline for backend services. 4. Contribute to code reviews, technical design, and architectural decisions. 5. Write unit/integration tests to ensure code quality. 6. Participate in Scrum development processes. === Leadership Responsibilities (Optional
制, 共同編輯, 影像編輯/既有模板/疊圖/文字/貼紙等功能。 - 設計軟體架構及模組設計 - APP和Server的溝通協定 - 學習新的軟體技術(Front end/Mobile app programming/Blockchain/Deep learning等) - GCP/AWS雲端及自有伺服器管理維護
