資料科學家(高雄/桃園)

團隊組成 (Team): 

前身是提供企業內部資料分析顧問服務以及打造客製化資料系統服務團隊之資料工程部門，擁有多年經驗。目前積極規畫與開發自有的資料處理平台，支撐高自由度、高效能、可靠並可擴展之資料處理/分析流程，解決實務上欲打造一套資料系統的難題。 

工作內容 (Responsibilities): 

1. Software Engineering: 

• Produce specifications and determine operational feasibility 

• Write well-designed and testable code for building an efficient and stable system 

• Troubleshoot, debug, maintain, and upgrade existing systems 

2. Data Platform Development & Data Engineering: 

• Module development and integration for building a modern data platform 

• Efficient data flow/pipeline module design and Implementation 

• Work closely with data science team to integrate ML/statistical models and analytical workflow

我們是一個專注在提供資料分析解決方案、顧問服務及平台開發的團隊，成員組成主要包含統計、資料探勘、機器學習、資料庫、數據分析網站平台開發、資料視覺化等背景。我們徵求有高度企圖心的軟體開發工程師來共同打造世界一流之產品，發揮資料科學的商業影響力 

Responsibilities: 

• 網頁平台介面開發 

• 網頁平台API 開發 

• 分析資料整合與串接

1. 負責AI應用資料視覺化顯示與雲端顯示介面 

2. 協助AI Framework雲端顯示介面開發 

3. 持續學習新技術並導入相關系統開發

1. 研究雲平台核心元件和新功能、新版本開發演進，及系統優化，進行功能導入設計 

2. 平台上層應用服務整合設計與開發 

3. 協助平台問題釐清解決與設計優化 

4. 平台架構設計與優化

1. 熟 JAVA, 資料庫應用, 及網頁設計語言(Thymeleaf, HTML, Javascript,CCS 等)者佳 

2. 熟悉 JSP/Servlet 技術,了解 J2EE 概念 

3. 懂 Spring framework, JPA, HIBERNATE 等 open-source 技術架構 

4. 熟 Java Web AP 開發架構者 (含: Spring, Spring boot, Struts, Hibernate… 等) 

5. 有Git 使用經驗 

6.有 docker或k8s佈署經驗尤佳

1. 硬體診斷軟體開發及現有模組維護 

2. 硬體壓力測試軟體開發及維護 

3. 依產品功能建構測試計畫並導入工廠

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.