Job information

$ 800,000 - 1,400,000 TWD per annum

Job Summary

- Total Package : 800,000 - 1,400,000 TWD / Annual
- Lead and supervise programmers to evaluate, design and prototype application architecture and framework.
- Minimum 3 year’s solid development, integration and support experience in Python programming under Unix/Linux.

Job Description

Compensation and Benefit

- Total Package : 800,000 - 1,400,000 TWD / Annual 
- Lead and supervise programmers to evaluate, design and prototype application architecture and framework.
- Minimum 3 year’s solid development, integration and support experience in Python programming under Unix/Linux.

Responsibilities

1. Design and implement production-grade python API/application integrating with existing big data infrastructure.
設計並實現與現有大數據基礎設施集成的企業級Python應用程序或API。
2. Responsible for code analysis of developed programs, identifying the bottleneck and optimizing the performance.
負責對已開發程序做代碼分析,識別性能瓶頸並進行優化或架構重組。
3. Lead and supervise programmers to evaluate, design and prototype application architecture and framework.
監督和帶領開發團隊對Python應用開發的底層架構和框架進行技術評估,設計,實現和完善。
4. Contribute to standardization of internal tools/libraries, coding practices, and development processes to help improve efficiency and application quality.
幫助標準化內部開發工具庫,編碼實踐和開發流程,以幫助提高效率和應用程序質量。

Requirements
(e.g. education, qualification, working experience, skill, knowledge)

1. Minimum 3 year’s solid development, integration and support experience in Python programming under Unix/Linux.
最少3年在Unix / Linux下Python應用的開發,集成和支持經驗。
2. Bachelor or above degree in computer science, software engineering, information technology or related.
大學資訊管理、資訊工程相關或以上學歷。
3. Good knowledge of data structure, algorithm, and parallel computing is preferred.
熟悉數據結構,算法和並行計算。
4. Knowledge in micro-services, Kubernetes and Big Data technologies (such as Kafka, Redis, NoSQL DB, Hadoop, Spark, or Solr/ES) is a big plus.
對微服務,Kubernetes和大數據技術(如Kafka, Redis, NoSQL DB, Hadoop, Spark或Solr/ES)的了解優先考慮。
5. Knowledge of packages like Numpy, Pandas, NLTK - advantage.
對Numpy,Pandas,NLTK等軟件包的了解 [加分]。
6. Experience in mass data manipulation and statistical analysis -advantage.
大規模數據處理和統計分析的經驗 [加分]。

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