轉職熱搜工作

＜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).

【可年後報到】 1. 工程開發階段新產品測試治具與測試站的開發、製作與驗證(DC電壓的電子電路)。 2. 生產線測試問題的分析與處理。 3. 生產線測試設備的維護(電子基礎量測儀器，如電源供應器、資料收集器...等)。 4. 熟悉烙鐵、熱風槍、示波器等電子相關工具。

【職務內容】 1.參與網站平台的各項功能規劃、實作。 2.網站管理及維護。 3.進行RWD網頁前端互動開發。 4.網站活動及社群媒體BANNER設計製作。 5.與企劃、程式等相關人員協同製作網站執行經驗。 ◆錄取後將進行資訊技能測驗，通過後另有資訊津貼◆ 【職務條件】 1.需有獨立作業能力。 2.熟悉設計工具，如: Photoshop、Illustrator等軟體操作 3.具備 HTML/CSS/SASS/JavaScript 網頁切版經驗、網頁前端互動及動態效果開發經驗，並熟悉各種瀏覽器的兼容性

【工作內容】 1.網路設備之軟硬體設備維護。 2.機房(含環控系統)日常維護與管理。 3.行政資訊系統日常維護。 4.其他資訊相關行政事務處理。 5.其它交辦事項。 【學歷需求】 具教育部認可之國內外大學所授予之學士(含)以上學位 【工作經驗要求】 1.曾有機房或網路管理維護經驗尤佳。 2.曾有虛擬化主機管理經驗尤佳。 3.具備基礎行政流程概念。 4.熟悉行政系統管理及維護經驗者尤佳。 【其他要求】 具備良好通協調能力、配合度高、工作穩定性佳。 【應備文件】 1. 履歷表。 2. 中文自傳。 3. 學、經歷證件、或有助判斷應徵者能力之相關證照。 【備註】 1. 收件方式：(下列方式擇一即可) (1)郵寄(以郵戳為憑)： 10673台北市大安區舟山路237號 大學入學考試中心人事單位收 (2)1111人力銀行網路履歷。 (3)電子郵件：khr860@ceec.edu.tw 2. 經本中心初審合格者另行通知面談 3. 本中心聯絡人：盧小姐 02-23661416#860

Job Summary: The Statistician/Data Scientist will be responsible for all advanced statistical methods utilized for improving product quality, production yield, and factory effectiveness as well as finding the root-causes, along with other consulting services such as customer targeting and lead scoring in support of sales and marketing activities worldwide. Key Responsibilities: • Design, implement, and refine advanced statistical/Machine Learning models to support product quality improvement, increasing yield and factory effectiveness. • Cultivate strong relationships with production line engineers, IT, and other key stakeholders to ensure alignment of modeling initiatives with company objectives and to identify new hypotheses for model improvements. • Scale out modeling capacity by driving infrastructure improvements such as automation of data preparations, model training, implementation, and optimization. • Support integration of models into tools for use by product engineers and business analysts. • Engage with customers to develop and customized data analytics solutions to address special needs. • Address ad hoc queries from management and present actionable recommendations in a clear, concise, and convincing manner. • Communicate the application and benefits of using various predictive modeling techniques to improve decision-making to customers and stakeholders. • Collaborate effectively with team members, whether leading projects or supporting initiatives led by others. • Provide direction, training, and guidance to less experienced team members.

1. 台灣電池中心資訊服務整合部門HelpDesk窗口 2. 集團OA 流程指引與教育訓練培訓窗口 3. 兼任KM知識平台管理員

1.負責電腦軟體的程式設計與維護，包含修改、安裝及測試等工作． 2.確認並開發軟體程式功能，進行測試並撰寫技術白皮書． 3.執行及管理系統程式，提供相關的客戶服務與支援． 4.支援專案進行，負責客戶教育訓練及技術文件撰寫． 5.完成主管指派的其他相關任務，協助專案達成目標．

【工作內容】 應用系統開發與維護，以及其他交辦事項。 【工作需求】 1.學歷需求：具教育部認可之國內外大學所授予之學士(含)以上學位。 2.資訊技能需求： (1) 具C#、ASP.NET程式設計經驗。 (2) 熟MVC 及Responsive Web Design之相關框架尤佳。 (3) 有網頁系統開發或委外進度管控經驗者尤佳。 (4) 具相關專業證書/證照尤佳。 3.工作經驗要求： 具3年以上前端網頁架構及設計互動動態網頁經驗者佳。 4.其他要求： (1) 具備自主學習能力和主動性。 (2) 具備良好的團隊合作精神。 【應備文件】 1. 履歷表。 2. 中文自傳。 3. 學、經歷證件。 4. 其他有力審查之資料（如系統開發作品）。 【備註】 1. 收件方式：(下列方式擇一即可) (1)郵寄(以郵戳為憑)： 10673台北市大安區舟山路237號 大學入學考試中心人事單位收 (2)1111人力銀行網路履歷。 (3)電子郵件：khr860@ceec.edu.tw 2. 經本中心初審合格者另行通知面談 3. 本中心聯絡人：盧小姐 02-23661416#860

想打造跨越雲端與實體的智慧生活？在這裡，你不只是一位專案經理，而是推動集團智慧化轉型的關鍵角色！ 我們正在尋找對IoT應用趨勢充滿熱情，具備產品視野與執行力的你，來共同開發未來式的智慧產品。你將橫向串聯四大產品線，從技術探索到商業化落地，從資料洞察到流程優化，全面參與並主導以下工作： 1. 協調集團內4大產品線之IoT前瞻技術應用與商品化提案 2. 訂定並優化IoT產品的開發流程與標準 3. 主導IoT系統軟硬體專案管理（含雲端平台與手機App） 4. 探索全球IoT應用趨勢，收集分析醫療、家具、人體工學與工業領域的市場資料 5. 擬定新系統與產品方案，並依據市場回饋敏捷優化 6. 跨部門協作（業務、產品規劃、設計、生產）統整資源、推進計畫目標 **歡迎想積極挑戰自我的優秀人才加入第一傳動的行列!!**

1.接受並釐清使用者需求，針對需求進行可行性做評估、優先順序與回覆 2.制定專案執行計畫與方向，包含需求訪談、開發過程、上線部署等 3.與工程師討論各項需求並轉換成開發項目，評估排序與工時 4.處理專案上版相關事項，如測試結果、版本控制、上線日期等 5.製作專案相關文件，如報告投影片、開發里程紀要、BRD、PRD、驗收測試文件等