Amazon Cloud Support Engineer Big Data interview questions
based on 4 ratings - Updated 6 Jan 2026
Difficultinterview difficulty
Very positiveinterview experience
How others got an interview
50%
Recruiter
Recruiter
50%
Applied online
Applied online
Interview search
4 interviews
Amazon interviews FAQs
Cloud Support Engineer Big Data applicants have rated the interview process at Amazon with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 52.9% positive. This is according to Glassdoor user ratings.
Common stages of the interview process at Amazon as a Cloud Support Engineer Big Data according to 1 Glassdoor interviews include:
Phone interview: 100%
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I applied online. I interviewed at Amazon (Dublin, Dublin)
Interview
Entretien RH / recruteur : vérifie le CV, la motivation et l’adéquation avec les Leadership Principles.
Entretien technique / opérationnel : teste les compétences techniques et analytiques, et les comportements via la méthode STAR
I applied online. I interviewed at Amazon (Seattle, WA) in Nov 2020
Interview
3 - Interview Process. 30 min with-Hr, 1 Hour with a Cloud Support Engineer. 4 Hour Interview with 4-6 People. 1 - 2 Manager, 4-6 Cloud Support Engineer. Very intense interview they asked 3-4 Question related to the LeaderShip Principles. If you know spark brush up on a lot of spark/emr related questions.
I applied through a recruiter. The process took 1 week. I interviewed at Amazon (Dublin, Dublin) in June 2020
Interview
phone screening: general introduction; explanation of current role; used technologies; then technical questions (see below); finally opportunity to ask questions and I got some advice on what to improve; overall good experience, very friendly and helpful interviewer;
Interview questions [1]
Question 1
Hadoop mapreduce
how HDFS works, command to check if replicated data lost from partition
how YARN works
how Spark works, what happens after you submit a job
HIVE and buckets
RDD vs DataFrame vs DataSet
monitoring tools for YARN