轉職熱搜工作

此角色需配合現場節奏與班別制度運作，適合能在穩定流程與清楚規範下，踏實執行並累積專業價值的人。 執行Bumping設備進階保養、non RFC修機、repeat設備導入、NPI部品更換與展機微調，以維持生產穩定。 1. 設備進階保養、校正 2. None RFC修機 3. 庫存監控、盤點 4. NPI-部品更換 5. NPI-展機-機台微調 6. 裝機、機連網、自動化(OHT)、驗收

1. 新擴建廠專案規畫設計(會同IE、Site了解現況及需求) 2. 執行專案工程規劃設計(圖面、設備規格、系統架構、需求)是否符合規範 3. 執行專案工程請購規劃(確認工料、請購報告) 4. 執行專案工程規劃設計(確認材料規格、工法內容、工程進度及風險控管、重點監造、試車計劃) 5. 核對驗收項目(試車數據、操作保養指導書及工程相關的KM資料) 6. 參與技術及異常研討會，評估改善做法

⭐️依能力起薪⭐️ 1.會機枱校刀.量測.上下料 2.主管交辦事項處理 3.可配合加班 **理工相關科系(會識圖) 或 ,具加工廠相關經驗**

1.制訂製造程序與產品標準。 2.評估製程專案計劃，訂出最適化的製造流程。 3.負責新產品製程的導入，並進行製程的檢測，以使新產品能夠穩定生產且符合相關標準。 4.定期檢測製程設備的重點參數。 5.持續改善現有生產製程。 Job Descriptions 1. Establish manufacturing procedures and product standards. 2. Evaluate the manufacturing process project plan and establish the optimal manufacturing process. 3. Be responsible for the introduction of new product manufacturing processes and testing of the manufacturing processes in order that new products will be produced stably and comply with relevant standards. 4. Regularly check up the key parameters of the equipment in the manufacturing processes. 5. Continuously improve existing production processes.

＜About the job＞ As the Senior Data Engineer or Data Architect, you‘ll join the various advanced Data Science & AI Projects in the corporate headquarters. As well as developing intelligent applications via related AI and Big Data Analytics Technology for digital transformation, you will have plenty of opportunities to develop emerging applications based on different use cases and expand your tech skillset in this world-class company (Fortune Global 500, 20th). ＜Job Description＞ *Type 1：Senior Data Engineer Responsible for acquiring data using API, Web scraping, or other data accessing protocol/scripting and developing the ETL data pipelines, and the data aggregation systems. Using software development experience to design and build high-performance automated systems. As below: 1. Data Processing (1)Data ETL(Extracting/Transforming/Loading) process engineering and querying from relational data management(such as SQL Script). (2)Building systematic data quality processes and checks to ensure data quality and accuracy. (3)Solid coding experience in Python or Java. 2. Data Pipeline Development (1)Develops a data integration process, including creating scalable data pipelines and building out data services/data APIs. (2)Create a data processing automation and monitoring mechanism by optimizing the data pipeline process. (3)Experience with dataflow/workflow/management tools, such as Apache Nifi, Apache Airflow, Azkaban, etc., is preferred. 3. Data Crawling (1)Build scalable tools that automate web crawling, scraping, and data aggregation from various web pages using frameworks such as Scrapy. (2)Accessing data from REST APIs, particularly in parsing data in disparate formats such as JSON and XML, and developing automated engineering. (3) (Nice to Have) Knowledge of server-based front-end/UI technologies, including Vue/React and HTML/CSS, is preferred. *Type 2：Data Architect Responsible for designing, implementing, and maintaining scalable and reusable system architectures/data architectures for complex data structures and large data in data science and AI projects. As below: 1. Data Schema Design (1)Collaborate with the team to design DB/Table Schema and Data Schema. (2)Consolidate the requirements and use data engineering tech to design and implement a robust Data Mart. (3)Experience handling all kinds of structured/semi-structured/unstructured data and streaming data is preferred. (4)Hands-on experience with Dimensional Data Modeling(Column-based data warehouse) or NoSQL Schema design. 2. Data Platform Architecture (1)Design and build data infrastructure/platform components to support complex data pipelines ingesting various data from multiple internal and external data sources and processing. (2)Familiar with Big Data frameworks and processing technologies, ex: Hadoop, Apache Spark, NoSQL ...etc. (3)Familiar with AZURE or AWS cloud data services(hands-on experience with cloud infrastructure will be a plus) (4)Familiarity with the Linux OS environment, the Shell Scripting, and infrastructure knowledge. (5)(Nice to Have)Experience with declarative infrastructure/container technologies, such as Docker and Kubernetes (k8s/k3s). (Nice to Have).

1.安衛制度及清安協議組織建立。 2.編制(制修)安全衛生管理計畫書。 3.執行工地安全衛生管理事項。 4.災害防止管理及缺失查察改善通知/追蹤。 兼辦或協辦事項:現場作業環境及設施維護改善。

1.規劃生產線設備、製程、Layout、工時及動線 2.撰寫SOP、PFMEA、Flow chart 等相關文件 3.設備報價,治工具評估及特殊製程設備評估 4.生產瓶頸分析與改善 5.跨部門溝通協調 ※加班費另計

此角色需配合現場節奏與班別制度運作，適合能在穩定流程與清楚規範下，踏實執行並累積專業價值的人。 1.MP-保養-執行設備簡易保養工作。 2.MP-點檢-設備點檢使設備正常稼動。 3.其他上級交辦事項

1.編制(或制修)品質計畫。 2.督導設備材料進場檢查及施工查驗。 3.配合辦理廠驗。 4.品質缺失資料彙整及改善進度追蹤。 5.品管文件建立及歸檔。 兼辦或協辦事項:施工規範、圖書內容複刻比對。