轉職熱搜工作

1.內部資訊系統軟硬體與週邊設備之管理及系統維護。 2.電腦、網路、印表機、機房等資訊設備之維護及安裝。 3.日常資料報表製作。 4.系統開發及維護管理。 5.具備解決問題的能力及良好團隊合作與溝通能力。 6.內控評鑑相關事項。 7.其他主管交辦事項。 8.績效獎金、年終獎金、三節獎金另計。 9.具有日文N1證照者津貼另計。

1.處理客訴分析及彙整 FA/8D報告 2.協調廠內單位與廠商進行客訴分析與推展對策導入 3.根據客訴分析報告, 整合品質失敗檢討方案 4.定期或不定期參與客戶會議, 溝通客訴處理進度 5.以專案型式推動品質改善 6.優化客訴分析流程與效率

1.品質對應窗口 2.定期解析品質數據並產出報告 3.統合品質資料協助內外部品質專案需求 4.整合中英文簡報及統籌客戶會議 5.優化工作流程與效率

1.協同軟體架構之規劃及設計 2.軟體需求分析、設計及程式撰寫 3.軟體測試及修改 4.撰寫使用手冊 5.軟體新技術及工具的研發、測試、驗證及應用 6.Linux、Windows架設及資料庫維護

1. 分析業務需求，撰寫規格文件，提出報表開發流程解決方案。 2. 監管視覺化數據分析平台，設計儀表板報表。 3. 運用內外部資料庫進行各類商業分析，提供數據做為決策支援。

如果您渴望有發展的舞台，更寬廣的視野，喜歡與人溝通，擅長跨部門合作，非常歡迎您加入我們！我們重視創新、合作與持續學習的文化。 流程優化：負責與各事業單位訪談現有流程，辨識流程優化及數位化的機會。目標提高流程效率至少20％。 文件撰寫：撰寫現有流程文件，採BPMN 2.0規格，並準備培訓材料。 數據分析：推動數據分析工具的使用，協助數據清理及分析建模，清晰展現數據樣貌，減少數據處理時間50％。 專案推動：負責團隊協作，推動流程數位化及優化專案，積極尋找創新技術和工具來優化流程。 自動化：協助串接可數位化的程式，減少人工作業與繁瑣作業，透過AI Agent輔助自動化作業。 跨部門合作：跨部門合作，提供數據支援以協助各事業單位制訂業務策略，確保數據隱私和安全規範。 持續改進：定期評估和改進已優化的流程，確保其持續有效。 其他主管交辦事項。

1、集團SAP ERP BW HR and MES Oracle營運 2、AIX and Linux設備管理與監控 3、IBM TSM and NBU備份管理 4、Oracle DataGuard 維運 5、Oracle ODA and RAC維運 6、災難復原演練計劃與執行 7、內外部稽核缺失、事故應變處理之改善與追蹤 8、用戶服務與支援

【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】 -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.維護鼎新ERP系統：Work Flow、Easy Flow 2.協助鼎新HR系統導入 3.公司文件檔案的建立及管理 4.資料處理、影像掃描及目錄建檔 5.協助會議、活動籌備、準備統計報表、書面報告、簡報等資料 6.郵件與文件的收發，跑公文會簽流程 7.協助主管所交辦的其他事項