J'ai postulé en ligne. J'ai passé un entretien chez Amazon (Washington, DC) en oct. 2020
Entretien
Applied online. Got word around week later. Set up a call the following week. For 60 mins! I thought it would be some technical but no. Just behavior and went through my resume.
Interview experience: I had a guy interview me and a team member shadow. They didn’t turn on the video call but I did to show myself so I thought that was weird. Big Negative: The interviewer chuckled while reading my resume. So my achievements amuse you? What a Clown. Also the interview was set up for a way too long 60 mins and only came for questions for 30. I used star method in case anyone wants to be the person.
Takeaway: I will interview again and I say no one should be discouraged by one individual. Also I’m a way more technical person. I have applied and interviewed for Data science positions at Amazon and so I would suggest to keep things simple to the interviewer because this guy was clueless for a manager.
Example: he misunderstood what a R package shiny app was for. He thought I was referring it to be shiny in general. Also this wasn’t the time he chuckled.
J'ai postulé via la recommandation d'un employé. J'ai passé un entretien chez Amazon (Austin, TX)
Entretien
The process consisted of a technical and behavioral round. Although the recruiter stated it would cover SQL and behavioral topics, the interview focused entirely on scenario-based and behavioral questions without a live SQL technical assessment. Communication after the interview was poor; the recruiter did not respond to follow-up emails, and an automated rejection notice was sent two days later.
Questions d'entretien [1]
Question 1
They asked me to describe a mistake I made in a past project, how I handled it and what I learned from the experience.
J'ai postulé en ligne. J'ai passé un entretien chez Amazon (Hyderâbâd)
Entretien
Easy.
Questions were mostly from sql - Basic to medium level
Topics were Group By, joins, window functions etc.
Basic python knowledge with libraries like pandas, numpy etc. They also ask about projects you have worked on.
Questions d'entretien [1]
Question 1
Questions were mostly from sql - Basic to medium level
Topics were Group By, joins, window functions etc.
Basic python knowledge with libraries like pandas, numpy etc.
The interview process includes a SQL test, an initial recruiter call, and a final five-round loop featuring technical questions and discussions focused on Amazon leadership principles with different team members.
Questions d'entretien [1]
Question 1
They asked a key question focused on both technical depth and culture fit: how you apply your skills to solve real problems, along with examples demonstrating alignment with Amazon’s leadership principles.