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Senior Big Data Engineer Interview Experience - Mountain View, California

November 1, 2018
Positive ExperienceNo Offer

Process

The overall process took over a month. It started with a brief call with the recruiter, followed by:

  • Two telephonic phone screens, each one hour long.
  • A Craft demo, which takes 3-4 hours to finish.
  • Four hours of on-site interviews.

Questions

Sort 2 already sorted arrays into one array.

Serialize and deserialize binary tree.

Design LRU cache.

Internal working of Spark, especially joins, shuffles, etc. Differences between RDD, DataFrame, and Dataset.

Design a Big Data solution for 2 streaming datasets using any cloud or open-source technology.

Craft a demo, mostly demonstrating Spark working knowledge and distributed systems.

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Interview Statistics

The following metrics were computed from 1 interview experience for the Intuit Senior Big Data Engineer role in Mountain View, California.

Success Rate

0%
Pass Rate

Intuit's interview process for their Senior Big Data Engineer roles in Mountain View, California is extremely selective, failing the vast majority of engineers.

Experience Rating

Positive100%
Neutral0%
Negative0%

Candidates reported having very good feelings for Intuit's Senior Big Data Engineer interview process in Mountain View, California.

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