Sr Big Data Processing Engineer (Spark)

工作內容

For analyzing the lifestyles of mobile users based on big data from mobile operators, the candidate will work closely with CTO, Product team, as well as foreign mobile operators.

1. Software development on new product line. Mobility Intelligence Platform.

2. Big Data platform infrastructure and design

3. Handles billions of records (location points) every day in mobile operator and drive subscriber mobility pattern, behavior and lifestyle

4. Handles overall system platform performance

5. Hands on capability on critical module evaluation and implementation

6. Occasional customer meeting on platform architecture explanation

條件要求

 

Criteria:

1. Hadoop or Spark experience is a must

2. Can-do attitude and good team player

3. Java or Scala or Python experience, and willing to learn Scala

Plus:

1. Data system development experience

2. Kafka experience, Spark streaming experience is a plus

3. Like to write unit tests

4. JavaScript experience

5. English speaking ability

Duty:

1. Improve the current data processing engine written in Scala

2. Integrate the engine with other applications (Web services)

3. Design new data mining process for new data insight

Interview:

1. Coding on this platform: https://www.codingame.com/training/community/apple-tree One might want to test the environment before the interview. Interviewees can bring your own laptops or use the MAC provided by GT.

2. The tech lead of the team will introduce the current software structure and then ask some technical questions.

3. Interview with the BU head.

遠端型態

部分遠端面試
部分遠端工作

因應疫情調整

員工福利

法定項目

勞保、健保、特別休假、勞退、婚假

其他福利

  1. 保障年薪14個月 (端午節及中秋節各0.5個月、年終1個月)
  2. 員工分紅,利潤共享
  3. 國外員工旅遊
  4. 團保(含壽險、意外、癌症、手術、醫療住院等全方位保障)
  5. 健康檢查(滿一年員工除基本方案外、加購項目公司補助一半)
  6. 彈性上下班 8:30-10:00 上班; 17:30-19:00下班(做滿8小時)
  7. 吃的喝的餅乾零食飲料水果咖啡牛奶
  8. 社團活動、社團補助:籃球及羽球社(公司租借場地)
  9. Teambuilding:部門聚餐、慶生、免費下午茶

薪資範圍

面議(經常性薪資達4萬元)