internship for master thesis: Data Sharing Platform"/>
Interview of KPMG internship for master thesis: Data Sharing Platform
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文章目录
- 1. Background
- 2. Interview
- 2.1 Intro
- 2.2 project
- 2.3 Q&A
- 总结
Interview of KPMG internship for master thesis: Data Sharing Platform
1. Background
Description
Project description: When an institution, company or person shares its data with another party, it normally loses the control over the data. To overcome this limitation of data sharing, we want to develop a cloud-based data sharing platform which enables owners to remain full control over their data. Besides, this solution should also allow owners to set and enforce their terms and conditions under which the data is available to others. To scope the graduation project, the student will work on a case study. This case study will be determined by the student and the team.
Work Environment
You will work in a team where both the expertise’s of Data Science and Data Engineering are represented. It is a high-performance team with a lot of experience and knowledge on a variety of subject ranging from platform engineering to analytics engineering.
Expectations
You will be working as a thesis intern for a period of at least 6 months full time. You have an interest in data engineering, have a background in engineering and programming and an affinity with data. Your own input is also much appreciated since the subjects are not set in stone.
2. Interview
2.1 Intro
- 2 intro of the 2 interviewers
data
Amstelveen - intro of the project
- self intro
2.2 project
- why data sharing platform
- what is your opinion
security 表示认可
企业自研data sharing platform
讲了 Tencent开发的例子,讲了WeDrive - Tencent干了什么?为什么去?
- Tencent领导结构,和全球同事合作体验
- 如果你在团队里,怎么做重要?
个人能力+teamwork,后者comes first
2.3 Q&A
- 部门介绍
data - 不懂finance
面试官:我也不懂,无所谓,想学可以学 - 时间
5-6 months,hybrid - 今天对自己感觉如何
说的有点乱 - 没关系很好了
总结
思维有点混乱,讲话逻辑不太清楚,昨晚熬夜导致的,以后逻辑清楚一点。
后续如果有的话,明早通知是否进入第二轮技术面,要做一个case。
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Interview of KPMG internship for master thesis: Data Sharing Platform
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