Data Modeler / Architect 資料架構師

Infocast

Job Description

Seeking an experienced candidate who will be responsible for building and refining data models in a complex distributed environment. Responsible for performing the Data analysis, Data modeling and DDLs creation.

  • Understand the differences between a conceptual, logical and physical model. 
  • Create a logical model from a set of business or functional requirements. 
  • Create a physical model from a logical one. 
  • Determines database structural requirements by analyzing client objectives. 
  • Can write complex SQL statements and do performance tuning. 
  • Should be able to take the results of the requirements gathering session and produce a logical/physical model whenever required. 
  • Design, review and maintains data models.

Requirements

* 4 years of data modeling experience whereby performing data modeling as the priority job. * Deeper knowledge of database structures and algorithms. * Experience using any of the Data Modeling tools. * Deep knowledge in RDBMS concepts, SQL and performance tuning of complex queries. * Expert with PostgreSQL database. * Work experience in Big Data technology a plus. * Excellent operational English, spoken and written. * Ability to understand business priorities and advise on fastest road to production. * Ability to work autonomously, set up deadlines and respect them.

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Infocast

台北市中山區

About us

Infocast 成立於2014年, 我們的辦公室位於長安東路二段,松江南京捷運站。 目前的十幾位同事來自墨西哥、印度、加拿大和台灣。 我們現致力於開發資訊媒體的客製化軟體, 讓我們的客戶可以透過關鍵字分析、過濾新聞和社交媒體; 並且擷取這些資料製作成一份報告或報表。 我們提供相當不錯的薪資,公司福利也會越來越完善哦! 希望可以吸引對這方面的工作有興趣及熱情的你。 Infocast is a young, dynamic and multi-cultural software development startup; located in Zhongshan, Taipei City. Information is everywhere, deriving value from it can be challenging - at Infocast, we offer value driven data analysis, processing, giving insight and guiding decision making. We essentially support and continually develop the software application that allows for our clients to filter news and social media information easily and understand what is transpiring in the media, identify pathways to influence key stakeholders, and improve operational decision-making.

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