Data Engineer Interview Experience - Luxembourg, Luxembourg
November 1, 2021
Positive ExperienceNo Offer
Process
Phone call interview with general SQL and data-related questions.
- SQL SELECT: Given tables, select data.
- INSERT: Given values, insert them into a database table with joins and WHERE clauses.
- UPDATE: Given data, update it in a database table.
Questions
SQL SELECT, INSERT, and UPDATE with JOINS and WHERE clauses
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Interview Statistics
The following metrics were computed from 3 interview experiences for the Amazon Data Engineer role in Luxembourg, Luxembourg.
Success Rate
0%
Pass Rate
Amazon's interview process for their Data Engineer roles in Luxembourg, Luxembourg is extremely selective, failing the vast majority of engineers.
Experience Rating
Positive33%
Neutral33%
Negative33%
Candidates reported having mixed feelings for Amazon's Data Engineer interview process in Luxembourg, Luxembourg.
Amazon Work Experiences
5.0
Amazing company with a unique culture
Data Engineer • Current Employee
Los Angeles, California, United States
February 7, 2023
Pros: Working with some of the best within each field and embodying the leadership principles Amazon projects on a daily basis.
Cons: Huge company, so there are several intricate systems that are hard to get used to and become cumbersome to interact with.
4.0
Smart Colleagues, Needs Culture Fix
Data Engineer • Current Employee
San Francisco, California, United States
January 17, 2025
Pros: Surrounded by smart, talented people.
Cons: Work culture can be improved.
3.0
Looking for Data Engineering opportunities
Data Engineer • Current Employee
November 18, 2022
Pros: Great scope of learning and dealing with a huge scale of data.
Cons: Work culture and high expectations
- 5.0Amazing company with a unique cultureData Engineer • Current EmployeeLos Angeles, California, United StatesFebruary 7, 2023Pros: Working with some of the best within each field and embodying the leadership principles Amazon projects on a daily basis.Cons: Huge company, so there are several intricate systems that are hard to get used to and become cumbersome to interact with.
- 4.0Smart Colleagues, Needs Culture FixData Engineer • Current EmployeeSan Francisco, California, United StatesJanuary 17, 2025Pros: Surrounded by smart, talented people.Cons: Work culture can be improved.
- 3.0Looking for Data Engineering opportunitiesData Engineer • Current EmployeeNovember 18, 2022Pros: Great scope of learning and dealing with a huge scale of data.Cons: Work culture and high expectations
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