Behavioral questions regarding amazon leadership principles and past experiences as well as projects SQL questions on data manipulation involving window functions and group by aggregations Python data manipulation Machine learning case question
Preguntas de entrevista [1]
Pregunta 1
SQL questions on data manipulation involving window functions
There were two back-to-back rounds: one hour of behavioral questions focused on leadership principles, 30 minutes on statistics and machine learning, one SQL histogram question, and one Python question for 30 minutes.
I had 2 rounds of interview. One was behavioural based on leadership principles + coding round based on DSA and the second round was technical focussing on Data science and ML fundamentals.
Preguntas de entrevista [1]
Pregunta 1
Explain the end - to - end data processing pipeline.
Me postulé a través de una recomendación de un empleado. El proceso tomó 4 semanas. Acudí a una entrevista en Amazon (Seattle, WA)
Entrevista
1) Recruiter call
2) 2 rounds of each 1 hour technical questions + Behavior questions
1) Technical: Coding with SQL, and Pandas
2) Behaviour: Amazon Principal
3) Confusion matrix -- very detailed, you need to know what you saying
Preguntas de entrevista [1]
Pregunta 1
1) Technical: Coding with SQL, and Pandas
2) Behaviour: Amazon Principal
3) Confusion matrix -- very detailed, you need to know what you saying
