1. 現場實施安全衛生設施之檢點與檢查。 2. 規劃實施勞工安全衛生教育，緊急應變演練。 3. 職業災害之調查處理及統計分析。 4. 現場實施巡視、廠區設備定期檢查、重點檢查。 5. 定期進行風險評估，並提出改善方案。 6. 協助與外部機構、政府部門的協調與聯繫。 7. 其他長官臨時交辦安全衛生相關工作。

【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！ 【Role】 As a Software Engineer on the MES team, your role includes designing and developing MES web applications. Your goals are to optimize manufacturing workflows, streamline material preparation processes, and provide comprehensive data analytics services. You‘ll work closely with cross-functional teams, including process engineers, to ensure that our solutions align with real-world production needs. Your technical expertise will be key in creating robust and scalable software for enhancing manufacturing efficiency. 【Responsibility】 • Responsible for designing, developing, deploying, and maintaining software for internal manufacturing execution systems. • Collaborate and communicate directly with internal users to design software tools for optimizing the production workflow. • Enhance and maintain our existing backend web services. • Improve the reliability, scalability, and performance of web services. • Troubleshoot software issues and implement fixes. 【Requirements】 • Proven experience in developing scalable and maintainable systems capable of handling large data volumes and high throughput. • Proficiency in backend languages such as C#, Java, Go, or others. • Strong communication and collaboration skills. • Experience in the Manufacturing or Logistics Industry is a plus.

【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！ 【部門說明】 1. 透過資訊化系統結合 AI、數據、影像來輔助產線流程及蒐集產線資訊 2. 透過自動化程式碼測試、程式碼品質檢測、自動化程式佈署、監控、警報來把關系統品質，並提升系統穩定度 【工作內容/角色】 1. 建置與維護 On-Premise Kubernetes (K8s) 2. 建置與維護 Linux / Windows Server 及相關服務 3. 協助開發人員整合 ASP.NET Core C# 至 CI/CD 流程 4. 建置監控機制 5. 提升系統品質

【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.

【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】 -Design and Implement data streaming pipelines/ETL batch services on Hadoop and Spark eco-systems supporting production line -Design and implement scalable, high performance and low latency Web service/RESTful APIs. -Data warehouse dimensional modeling and developing and optimizing complex SQL queries for applications. -Cross-functional collaboration with domain experts and data scientists -Coach and mentor junior data engineers to be more effective individual contributors -Investigate the next generation data pipeline and architecture to improve data quality and integrity. 【Requirements】 -3 Years+ of programming using Scala/Java/Python -3 Years+ of experience in data modeling for both OLTP and OLAP databases on data warehouse, data lake, and enterprise big data platforms. -3 Years+ of hands on experience in developing Web service/Restful APIs -Experience with testing, data validation, and data quality assurance, performance tunning -Strong knowledge of ER modeling, big data, enterprise data, and physical data models -Willing to further discuss with data user to know their truly intention and requirement

【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】 Data Engineering Team is part of Garmin‘s Process Integration Department, we are looking for engineer to join our data infrastructure team. Cooperate with Data Engineer to build, maintain and optimize data platform and data pipeline. Our mission is to drive stability, scalability and efficiency for the PI data ecosystem and build a manufacturing data center in Garmin. 【Responsibilities】 1. Achieve stability of the entire data infrastructure 2. Create monitoring and alerting processes for the data infrastructure team 3. Manage access control to data infrastructure 4. Proven work ability, including implementation, operation and troubleshooting 5. Create automation tasks / self-services / documentations to reduce manual operation tasks 6. Continuously improve and evolve our data platform architecture for future challenges 【Requirements】 1. Skilled in setting up, upgrading, maintaining and monitoring data platform services such as Kafka, Hadoop HDP/CDP/Apache, ElasticSearch, Cassandra, Redis. etc 2. Experience in building up feasible and generic monitoring architecture using solutions like Prometheus/Grafana or zabbix 3. Proficient in Python or Java programming language 4. Familiar with Linux operating system and shell script 5. Hands-on experience with container (Docker composes, Docker swarm or Kubernetes) 【Bonus Points】 1. Familiar with IaC tools (Ansible) and CI/CD pipeline (Gitlab, Jenkins) 2. Experience in deploying data pipeline with NoSQL databases(Cassandra, Elasticsearch or Redis) 3. Knowledgeable in designing monitoring and alerting mechanism for data pipeline

【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】 -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！ 【職責】 作為MES（製造執行系統）系統分析師，您將在國際智能工廠環境中扮演一個關鍵角色，協助實現順暢的生產流程並擔任以下職責： 1. 系統整合與文件管理 - 與各部門密切合作，進行需求訪談，以深入了解生產流程，支援MES系統的順利上線。 - 撰寫關鍵文件，包括系統技術手冊、操作手冊和培訓材料，確保運營的無縫轉變。 2. 國際合作與MES系統移植 - 參與跨國MES系統移植計劃的策劃和實施，促進不同國家工廠之間的協作和信息共享。 - 建立跨國溝通渠道，確保信息流動，以支持項目的成功實施。 3. 參訪接待 - 當參訪團體來工廠參觀時，您將擔任重要的介紹角色，向他們展示我們的智能工廠運營模式。 【要求】 為了在這個職位上蓬勃發展，我們期望您擁有以下特質和能力： - 具備 MES 系統分析師經驗，並精通相關技術和工具。 - 出色的溝通技巧，具有跨部門協調和國際合作的能力，能夠與不同文化背景的同事合作無礙。 - 專業態度，以認真負責且積極主動的態度處理工作。 - 流利的英語能力，以支持跨國合作和溝通。 【優勢】 加入我們團隊的MES 系統分析師將享有以下優勢： - 工作範圍多元，包括需求訪談、系統導入、文件編寫、國際溝通和參訪接待等多樣性工作。 - 有機會深入了解和體驗不同國家的文化和生產流程，擴大您的國際視野。 - 工作充滿挑戰，為您提供學習新技能和不斷成長的機會。 【挑戰】 這個職位將帶來以下挑戰，但這些挑戰也將成為您的成長機會： - 與各部門協調需要優秀的溝通技巧，以確保項目成功實施。 - 跨國合作需要具備一定的英語能力，並需要建立有效的跨文化溝通。 - 應對複雜的工作內容需要具備相應的專業知識和經驗，以應對挑戰並取得成功。