J'ai postulé via un recruteur. Le processus a pris 2 semaines. J'ai passé un entretien chez Amazon (Seattle, WA) en sept. 2019
Entretien
Very quick and efficient. Recruiter reached out. Set up a telephonic interview after a quick call and approval from hiring manager. Was initially considered for a data engineer position then considered for a business intelligence after the call
Questions d'entretien [3]
Question 1
If there is a project on which you have never worked before, how will you tell that the data you are using for this project is correct and will help you get the correct results?
SQL question - Table1
year| month| order_id| seller_id| book| quantity| prices
2008|June| 1|888|HP| 2| 2000
2008|June| 1|888|LoTR| 1| 1000
2009|July| 2|999|HP| 1| 1000
Q1. find avg quantity of books solder for every order_id every year?
Q2. find max units of books sold for every order_id
J'ai postulé en ligne. J'ai passé un entretien chez Amazon
Entretien
The interview process was smooth and conversational. The interviewer was calmly asking questions about my previous work experiences and listened patiently. He even gave me ample time to frame my answers.
Questions d'entretien [1]
Question 1
1. Tell me about your previous work experience.
2. Asked few SQL questions
few rounds of interviews ranging between technical and conversational. Mostly in the form of " tell a story of time where ..." to show how you relate to amazon LPs
The first interview is a technical phone interview that assesses your skills in SQL and Python, specifically data analysis with python. The interviewer pastes the description of an SQL problem on the code editor and asks you to write your answer while describing your thought process. They give you hints when you're stuck.
Questions d'entretien [1]
Question 1
Could you tell me the steps involved in the data analysis process?