搜尋職缺
大數據處理工程師_高雄/桃園
10/05更新
大數據處理工程師_高雄/桃園
鴻佰科技股份有限公司
本職缺「優先面試持有經濟部能力鑑定證書者」
雇用型態
全職
工作型態
無遠端工作
分類
物聯網應用工程師、營運智慧分析師、AI應用規劃師
分類
物聯網應用工程師、營運智慧分析師、AI應用規劃師
薪資範圍
面議 經常性薪資達 4 萬元或以上
工作地點
高雄市前鎮區
需求人數
1~3人
職缺描述
Job Summary/Role:
The Big data developer team works closely with the manufacturing functions in all relative data fields, such as, 1) connecting and automating the data pipeline from MFG file servers, API, RDB, etc., 2) building structurally data warehouse and data market for flexible application or dashboard, and 3) also handling data cleansing and data governance. In order to accelerate the development of application/analysis, Big data developer will be the individual contributor with strong experience in the technologies of Big Data, Data warehouse, SQL and NoSQL etc. Also Big data developer will also work closely with data analysts/data scientists to solve the real MFG cases.
Responsibility:
‧ Collaborate with users, data analysts, data scientists to develop flowcharts, layouts and documents to identify solutions.
‧ Architect on real MFG needs and translate requirements into technical needs.
‧ Identify and understand the data sources that are relevant for analysis, and implement efficient data engineering functions (including data ingestion, cleaning, ETL, integration, etc.)
‧ Consolidate the requirements and using data engineering skills to design a robust Data Mart.
‧ Participate in design, architecture review and deployment of Big data and data warehouse solutions.
‧ Design for automation and monitoring mechanism in a continuous integration environment.
‧ Bring new data technology with POC to solve existing data challenges.
‧ With high performance and comprehensive SQL to process data in relational databases (or Map/Reduce style querying for NoSQL databases).
‧ Work closely with user/IT/data science team to design and develop scalable data pipeline or end-to-end analytical workflow.
‧ Provide direction, training, and guidance to less experienced team members.
The Big data developer team works closely with the manufacturing functions in all relative data fields, such as, 1) connecting and automating the data pipeline from MFG file servers, API, RDB, etc., 2) building structurally data warehouse and data market for flexible application or dashboard, and 3) also handling data cleansing and data governance. In order to accelerate the development of application/analysis, Big data developer will be the individual contributor with strong experience in the technologies of Big Data, Data warehouse, SQL and NoSQL etc. Also Big data developer will also work closely with data analysts/data scientists to solve the real MFG cases.
Responsibility:
‧ Collaborate with users, data analysts, data scientists to develop flowcharts, layouts and documents to identify solutions.
‧ Architect on real MFG needs and translate requirements into technical needs.
‧ Identify and understand the data sources that are relevant for analysis, and implement efficient data engineering functions (including data ingestion, cleaning, ETL, integration, etc.)
‧ Consolidate the requirements and using data engineering skills to design a robust Data Mart.
‧ Participate in design, architecture review and deployment of Big data and data warehouse solutions.
‧ Design for automation and monitoring mechanism in a continuous integration environment.
‧ Bring new data technology with POC to solve existing data challenges.
‧ With high performance and comprehensive SQL to process data in relational databases (or Map/Reduce style querying for NoSQL databases).
‧ Work closely with user/IT/data science team to design and develop scalable data pipeline or end-to-end analytical workflow.
‧ Provide direction, training, and guidance to less experienced team members.
職務需求
工作經驗：3年以上
學歷限制：大學
學歷限制：大學
職位福利
休假制度：依公司規定
企業資訊
企業名稱
鴻佰科技股份有限公司
公司地址
新竹縣湖口鄉光復北路16號
認同的鑑定項目
AI應用規劃師能力鑑定、智慧生產工程師能力鑑定、淨零碳規劃管理師能力鑑定、資訊安全工程師能力鑑定
企業介紹
鴻佰科技股份有限公司（Ingrasys Inc.）是富士康科技集團（Foxconn Technology Group）的子公司，身為世界級智慧型雲網服務產品之技術領導者，提供廣泛的產品和服務，包括伺服器、儲存裝置、高性能計算加速器和創新的環境友善解決方案，協助全球客戶滿足使用需求。公司已獲得AS9100認證，確保提供高品質的航太產品和服務。