Good work ethic.
Work-life balance.
Scope for growth.
Freedom to learn and explore.
Transparency.
Good pay.
Need to work with a lot of internal tools. Changing fundamental infrastructure/tools used is hard.
I applied through college or university. In the technical interview R1, they asked five data structure questions, one SQL join operation theory question, and also a bit about the project. The interview lasted a bit longer, around 70 minutes.
They focus very heavily on the Amazon Leadership Principles. There were a total of 5 rounds. It was a bad experience, as they did not acknowledge the fact that I was facing audio issues. The interviewer seemed agitated, and it turns out he was the
The interviewer seemed very lackadaisical and preoccupied. Python questions were similar to ones posted here. Questions were asked about databases and indexing, SCD, and other database terminologies. Questions were also asked about big data, MapRe
I applied through college or university. In the technical interview R1, they asked five data structure questions, one SQL join operation theory question, and also a bit about the project. The interview lasted a bit longer, around 70 minutes.
They focus very heavily on the Amazon Leadership Principles. There were a total of 5 rounds. It was a bad experience, as they did not acknowledge the fact that I was facing audio issues. The interviewer seemed agitated, and it turns out he was the
The interviewer seemed very lackadaisical and preoccupied. Python questions were similar to ones posted here. Questions were asked about databases and indexing, SCD, and other database terminologies. Questions were also asked about big data, MapRe