轉職熱搜工作

【全球智慧製造】 你知道Garmin的智慧工廠嗎? 你知道火星上出現過Garmin的產品嗎? 你知道飛行員總是配戴Garmin的手錶上天空嗎? 全球智慧製造服務計畫(GSMS)透過AI、機構、電控、資料科學、IoT、大數據等技術，將智慧製造系統，即時控制與調整全球生產系統，且在地化支援亞洲、美洲、歐洲多個國家 如果你想體驗不同的文化，綻放自己的光芒！ 現在就投遞履歷，讓我們見識你的獨特潛力！ 【Introduction】 With increasing velocities, varieties and complexity of data at Process Integration (PI), the PI Data Engineering Team becomes the important role supporting existed or new projects using big data techniques to manipulate large streaming/batch dataset with various format on highly efficient way. 【Responsibilities】 -Develop and Maintain data streaming pipelines/ETL batch services on Hadoop and Spark eco-systems supporting data analysis dashboard such as smart factory dashboard, war room...etc -Ingesting data from different sources to data middle office platform such as Kafka and HDFS/HIVE. -Data warehouse dimensional modeling and developing and optimizing complex SQL queries for applications. -Design and implement scalable, high performance and low latency Web service/RESTful APIs. -Cross-functional collaboration with domain experts(PE) and data scientists(DS) in Garmin 【Requirements】 -Experience in Git/SVN or other version control tools -Familar with at least one programming language like Scala/Java/Python -Experience in ER modeling/data modeling for both OLTP and OLAP databases on data warehouse, data lake, and enterprise big data platforms. -Strong interest in big data platform and related open source like Spark, Redis, Kafka, ELK -Willing to further discuss with data user to know their truly intention and requirement -Be positive, data loving and interested in growing into more senior data engineer

【全球智慧製造】 你知道Garmin的智慧工廠嗎? 你知道火星上出現過Garmin的產品嗎? 你知道飛行員總是配戴Garmin的手錶上天空嗎? 全球智慧製造服務計畫(GSMS)透過AI、機構、電控、資料科學、IoT、大數據等技術，將智慧製造系統，即時控制與調整全球生產系統，且在地化支援亞洲、美洲、歐洲多個國家 如果你想體驗不同的文化，綻放自己的光芒！ 現在就投遞履歷，讓我們見識你的獨特潛力！ 【Introduction】 With increasing velocities, varieties and complexity of data at Process Integration (PI), the PI Data Engineering Team becomes the important role supporting existed or new projects using big data techniques to manipulate large streaming/batch dataset with various format on highly efficient way. 【Responsibilities】 -User Training and Support: Assist in preparing tutorials for data platform features, including basic operations and SQL queries. Provide basic technical support to users, helping resolve daily data access issues. -Documentation and Resource Management: Help draft and update user manuals and FAQs for the data platform. Support the organization and maintenance of internal knowledge resources. -Promotion Activities: Planning and executing promotional activities for the data platform (e.g., workshops, presentations). Facilitate cross-department communication to help users understand the value and applications of the data platform. 【Requirements】 -Basic Skills: Proficiency in SQL with knowledge of basic query syntax. Interest in learning BI tools (e.g., Tableau, Power BI). -Communication Skills: Strong verbal and written communication skills to convey technical concepts clearly. -Personal Traits: Quick learner of new tools and technologies with a proactive attitude toward problem-solving. Customer-focused mindset with a willingness to support and assist colleagues. -Preferred Qualifications: Familiarity with basic principles of database normalization. Preliminary experience in data modeling (e.g., Star Schema, Snowflake Schema). Experience in data analysis. Participation in technical support or internal training-related work.

【全球智慧製造】 你知道Garmin的智慧工廠嗎? 你知道火星上出現過Garmin的產品嗎? 你知道飛行員總是配戴Garmin的手錶上天空嗎? 全球智慧製造服務計畫(GSMS)透過AI、機構、電控、資料科學、IoT、大數據等技術，將智慧製造系統，即時控制與調整全球生產系統，且在地化支援亞洲、美洲、歐洲多個國家 如果你想體驗不同的文化，綻放自己的光芒！ 現在就投遞履歷，讓我們見識你的獨特潛力！ 【Introduction】 With increasing velocities, varieties and complexity of data at Process Integration (PI), the PI Data Engineering Team becomes the important role supporting existed or new projects using big data techniques to manipulate large streaming/batch dataset with various format on highly efficient way. 【Responsibilities】 -Strategic Promotion and Planning: Lead the promotion of the data platform, develop cross-departmental collaboration strategies, and ensure effective adoption. Design advanced training programs tailored to different levels of users. -Technical Support and Problem Solving: Provide advanced technical support to users, resolving complex issues related to BI tool integration, data queries, or system operations. Assist in optimizing the data platform based on user feedback and requirements. -Requirements Analysis and Feedback: Gather requirements from various departments, analyze usage scenarios, and provide actionable feedback to the technical team. Help design and test new features to enhance the data platform‘s user experience. -Guidance and Team Management: Mentor junior team members, share expertise, and help improve the overall team skillset. Drive team goals and ensure project milestones are met. 【Requirements】 -Technical Expertise: Proficiency in SQL with experience in database architecture and optimization. Expertise in at least one BI tool (e.g., Tableau, Power BI) with advanced applications. Deep understanding of data platform or data lake architecture. -Experience Requirements: 3–5 years of relevant experience (e.g., data analysis, data engineering, system support). Prior participation in or leadership of large-scale data projects is preferred. -Communication and Leadership Skills: Exceptional cross-departmental communication and coordination skills to drive project progress effectively. Experience in training or mentoring users and team members at various levels. -Personal Traits: Detail-oriented and capable of managing multiple tasks with creativity and initiative in problem-solving. Sensitive to user needs and quick to respond to and fulfill business requirements. -Preferred Qualifications: Expertise in database normalization principles and practices. Experience in data modeling, with knowledge of design techniques (e.g., Star Schema, Snowflake Schema). Familiarity with data platform-related technologies (e.g., Dremio, Databricks) or data governance processes. Background in data engineering or software development.

1.數據需求分析與開發測試驗證 2.Hadoop與Airflow平台管理 3.專案廠商管理與功能測試驗證 4.系統日常維運與問題處理

1. 資訊設備管理維護(含軟硬體及網路) 2. 有程式語言撰寫經驗(C# , ASP , PHP ...)或有網管經驗者佳 3. 熟資料庫SQL語法

1.公司OA系統主機設備及資訊安全管制巡檢。 2.公司OA資訊及資安系統架構設計與規劃。 3.公司虛擬主機及VDI管理及維護 4.負責主機及相關軟硬體安裝、設定和維護。 5.處理緊急公司OA系統網路問題 6.執行主管交辦事項

1. 熟悉資料庫(Oracle、MS SQL)基本操作。 2. 熟悉C#/VB6開發經驗 3. 具備MES/半導體產業相關工作經驗尤佳 4. 具備自動化系統維運經驗尤佳 5. 能團隊合作及具備學習新知精神 6. 遇到緊急技術問題能on call協助解決問題優先 【薪資說明】 ◎起薪30000~70000以上 ◎無經驗可 ◎依學經歷、科系、經驗相關性、特殊需求證照及專長等條件核敘個人薪資。 【頎邦全球人才招募網】 https://jobs.chipbond.com.tw/index

1. 具備企業管理流程知識者佳(如: MM/PP/SD/FI/CO) 2. 有 ABAP Dialog 程式開發及相關 SAP 開發工具經驗者佳 3. 有 ASP. NET or C# WinForm or Java 開發經驗者佳

你是否熱愛用數據解碼零售的運作奧秘？我們正在尋找一位對數據技術充滿熱情、喜歡持續學習的夥伴，一同打造穩定且高效的數據平台，驅動零售業務的智慧決策。在這裡，你將有機會與跨部門團隊合作，將技術轉化為實際應用，讓數據真正發揮價值。 工作內容 1.數據管道建置 設計、構建並維護可靠的數據管道，確保資料從各來源正確且高效地整合至數據平台。 2.程式設計與開發 使用ETL工具進行資料庫及資料表系統相關的程式設計與開發，落實數據處理流程。 3.需求訪談與文件製作 參與資料管理與處理相關專案的需求訪談與系統分析，並製作系統需求規格書，確保需求與技術實現無縫接軌。 4.跨部門協作 與開發團隊合作整合並優化API數據串流，確保數據流的可靠性及即時性，支持業務決策。 5.安全與效能監控 建立並維護數據安全性措施，確保資料隱私與合規性，同時持續監控與優化數據管道效能。 6.數據平台創新 參與數據平台的設計與架構討論，提出創新且高效的數據解決方案，協助團隊持續提升技術能力。 其他條件 •熟悉ETL流程與工具，如 Informatica、SSIS、Trinity 等使用經驗。 •熟悉SQL設計與開發，具備撰寫SQL Script與Stored Procedure的實務經驗。 •熟悉資料庫設計原則，能夠進行資料查詢優化及結構調整。 加分條件 •至少2年以上數據工程相關經驗，並能展示數據管道或數據平台的相關專案成果。 •有使用AWS、Azure、GCP等雲端平台進行數據處理的實務經驗。 •能在快節奏環境中自主工作，對新技術保持學習熱忱。

【維護及開發自動化與MES整合相關系統】 1.需求設計與協同開發 2.協助提供自動化與MES整合之解決方案。 3.因應自動化需求之新技術/新平台引進。 4.因應自動化需求之模組化需求開發整合。 【薪資說明】 ◎起薪35000~70000以上 ◎無經驗可 ◎依學經歷、科系、經驗相關性、特殊需求證照及專長等條件核敘個人薪資。 【頎邦全球人才招募網】 https://jobs.chipbond.com.tw/index