Candidatei-me por meio de recrutador(a). O processo levou 1 dia. Fui entrevistado pela Amazon (Bengaluru) em jul. de 2022
Entrevista
The questions were related to SQL, Python and behavioral analysis. There were 4 rounds. 3 rounds of technical and behavioral analysis and 1 round of complete behavioral analysis question. Answer to be given in STAR pattern for behavioral questions.
Perguntas de entrevista [1]
Pergunta 1
From SQL:
1. If there are 2 tables with m and n rows respectively, then what will be the minimum and maximum number of rows in all the joins.
2. Get the 3rd highest employee salary from employee salary table.
3. Given a product table, the new record gets appended in table with the new timestamp for the product ID. Find out the latest row for that particular product with or without analytical functions.
4. Given there are 2 tables of employee details and employee project details, which all employee are not yet assigned a project.
For python:
1. Given a product data frame, the new record gets appended in table with the new timestamp for the product ID. Find out the latest data frame for that particular product with pandas.
Fiz uma entrevista na empresa Amazon (Los Angeles, CA).
Entrevista
Interview focused on analytical thinking and case studies. Main focus was on the leadership principles. First interview was a phone interview that covered a few basic questions and SQL coding. The loop had 4 rounds.
Perguntas de entrevista [1]
Pergunta 1
What is the difference between inner and left join?
Candidatei-me online. Fiz uma entrevista na empresa Amazon.
Entrevista
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.
Perguntas de entrevista [1]
Pergunta 1
1. Tell me about your previous work experience.
2. Asked few SQL questions
Fiz uma entrevista na empresa Amazon (Luxemburgo).
Entrevista
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
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