Cloudwick Interview Questions

Overview

with more than 100,000 hours of hadoop and nosql people, process and technology transformation cloudwick has the knowledge and expertise to make your fortune 1000 big data initiative a success. talk to cloudwick to learn how we accelerate these big data transformations:

hadoop people transformation - cloudwick provides its clients with experts that are trained and certified on proven production big data technologies. whether you need a team player, a team lead or an entire team for your big data project cloudwick is your big data partner.

hadoop process transformation - cloudwick has been there and done that when it comes to big data. our team of hadoop administrators, developers and engineers build, test, integrate and operate fortune 1000 hadoop clusters.

hadoop technology transformation - cloudwick makes big data infrastructure, software and technology work. we engineer, operate and manage fortune 1000 production clusters powered by cloudera, hortonworks, mapr and datastax.

Cloudwick Interview Guides

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Machine Learning
(7)
Data Pipelines
(4)
Behavioral
(3)
SQL
(2)
Data Structures & Algorithms
(2)

Challenge

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Cloudwick Interview Questions

Practice for the Cloudwick interview with these recently asked interview questions.

QuestionTopicDifficulty
SQL
Easy

Given a table called employees, get the largest salary of any employee by department

Example:

Input:

employees table

Column Type
id INTEGER
department VARCHAR
salary INTEGER

Output:

Column Type
department VARCHAR
largest_salary INTEGER
Data Structures & Algorithms
Easy
Machine Learning
Medium
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Cloudwick Salaries by Position

$106K
$148K
ML Engineer
Median: $125K
Mean (Average): $127K
Data points: 10
$79K
$164K
Data Scientist
Median: $90K
Mean (Average): $112K
Data points: 11
$86K
$132K
Data Engineer
Median: $109K
Mean (Average): $110K
Data points: 55

Most data science positions fall under different position titles depending on the actual role.

From the graph we can see that on average the ML Engineer role pays the most with a $127,018 base salary while the Data Engineer role on average pays the least with a $110,073 base salary.

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