Data Engineer applicants have rated the interview process at Amazon with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 57.8% positive. This is according to Glassdoor user ratings.
Here are the most commonly searched roles for interview reports -
I applied through college or university. The process took 2 weeks. I interviewed at Amazon in Oct 2021
Interview
There're two rounds of video interviews including SQL questions (which needs joining and grouping, sorting), leadership principles related behavior questions, and easy-level Leetcode questions. One is about recursion and the other is about sorting algorithms.
I applied through a recruiter. The process took 3 weeks. I interviewed at Amazon
Interview
Ridiculous process, punctuated by the fact that one of the interviewer's in my loop was a senior data engineer that seemed to not know basic data modeling and warehousing theories and concepts. This interviewer also could barely speak English, and I spent half the time trying to explain stuff to her that she couldn't comprehend due to her poor English proficiency.
The technical questions weren't that difficult, what's tough about the process are the redundant leadership questions. They tend to ask you the same question over and over again across different loops, and expect a different answer every time. Suffice to say, I didn't get an offer and that's probably a good thing. It's not hard to see why there's so much employee turnover there.
I applied online. The process took 2 days. I interviewed at Amazon in May 2022
Interview
In the hackerrank testing interface, you have to answer two highly technical problems that must pass 30 test instances. Then you give written feedback of the computational complexity, choices in solutions, etc.
Interview questions [1]
Question 1
Using python, sort through a list of process ids with different naming conventions to organize them alphabetically and in chronological order.