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).

1. AI 端對端數據流分析設計，建立持續整合、交付、布署機制，內外數據流議題與知識管控 2. AI底層平台建立，包含容器管理、靈活調用資源、知識工程導向資料庫

1. 對所有資源(資料、工具、服務)進行語意封裝與動態取用服務 2. 運用LLM、AI Embedding、Vector DB，加速進行各領域應用的Ontology與Graph DB建置

1. 數據治理實施，包括資料模型、資料定義、元數據、資料品質等 2. 建構數據工作流(Data Pipeline)、導入數據工程自動化和敏捷實踐(DataOps) 3. 熟悉數據架構規劃、數據源開發、數據蒐集與處理、數據探勘與加值 4. 數據建模 : 依主題挑選適當模型方法與參數處理進行多類型建模與冠軍模型挑選，與商業分析師合作進行統計分析模型及最佳化的研究與開發 5. 視覺化應用 : 善用視覺化工具(PowerBI)溝通特徵值與模型分析結果

近期因為美中貿易、IRA協定、地緣政治等，更讓東協、印度、墨西哥等新興市場成為臺商調整投資海外布局的首選。臺商前往新海外市場布局已是一股不可擋的趨勢。 歡迎對新興市場分析、企業布局移轉、新興市場產業合作商機有興趣之夥伴加入工研院。 工作內容： 1.新興市場產業發展、企業布局策略、總體市場及經濟數據等分析 2.企業海外市場顧問諮詢服務 3.即時議題評析文章撰寫 4.協助團隊專案計畫執行 5.其他計畫臨時交辦處理 6. 工作地點 : 台北科技大樓or新竹中興院區 #關於我們 工研院產業科技國際策略發展所(簡稱:產科國際所)，是政府與產業均仰賴的智庫，結合產業研究與國際業務推動能量，以協助台灣產業布局全球市場為己任，以『促進台灣產業科技創新與價值提升』為願景。 旗下經營的IEK產業情報網已超過15年歷史，是國內產業情報資料庫的領導品牌。 IEK產業情報網：http://ieknet.iek.org.tw/

媽咪樂致力於開創「居家服務信任中心」，我們提供客戶「訂閱式服務」， 聚焦客戶居家的需求和痛點，提供最佳的解決方案和服務，為客戶創造最大價值， 在這裡，你有機會【改變他人的生活】，服務他人成就自己！ 【你需要做什麼？】 ￭導入大數據分析技術，協助建立人力資源管理策略 ￭協助建立HR的數位化機制，提高效率 ￭落實大數據策略思考與數據分析能力，將其整合到「選」、「訓」、「育」、「用」、「留」等人力資源制度中 ￭執行人力資源相關專案，確保項目進度和目標的達成 【你需要具備什麼？】 ￭具有大數據分析和數位行銷相關經驗，熟悉相關工具和技術。 ￭具備Python程式設計者佳。 ￭具備數據分析思維和能力，能夠從數據中提煉價值並提供有效建議。 ￭具備專案管理經驗，熟悉專案管理流程和工具。 ￭良好的溝通和協調能力，能夠與不同部門有效合作。 ￭積極主動、創新思維，對大數據和人工智慧有熱忱 【 我們提供的機會】 ￭友善的工作環境：我們鼓勵團隊合作，共同成長，並提供支持和培訓，以提高您的專業技能。 ￭優厚的薪酬待遇：我們重視您的價值，將提供具競爭力的薪資和福利。 ￭發展機會：我們為您提供升遷和成長的機會，助您實現職涯目標。

Analyzes complex business Supply Chain/ Planning problems and issues using data from internal and external sources to provide insight to decision-makers. Providing reports through office applications to improve business processes. Analyzing business requirements and processes and recommending them to the management and executives for implementation. Responsible for coordination and success of large multi-functional Business Intelligence projects to drive engagement and alignment to support departments digital and data strategy. Identifying the development needs for the purpose of streamlining and improving the operations of the organization for efficiency and profitability. Develop and maintain databases, reporting dashboards, data models and governance processes. Source to Target mappings/ Functional Spec creation documentation and communicate with Development teams test Data setup and UAT coordination with IT and Business, Follow-up on IT application gap/ issues.

1. 彙整內外部可運用數據，參與數據應用、銷售分析、顧客貼標等專案 2. 依業務需求與商品特性規劃數據收集策略，並進行數據挖掘、清理、分析 3. 執行與推動分析型專案的進行，有效組織/配合團隊合作完成任務 4. 建置模型/演算法，預測客戶商機、行為屬性，協助達成商業決策或提升效率

1.根據系統開發需求規劃資料庫伺服器硬體資源設定。 2. 資料庫異常處理、管理資料庫資源、包含使用量、權限、空間、系統資源...等。 3. 資料庫日常維護，日常操作、安裝、配置、監控、負載均衡、即時備份、災難恢復和管理。 4. 監控資料庫效能，並適時針對參數及 SQL 效能調校。 5. 熟悉python、GCP尤佳。