Data Engineer


Data Engineers are responsible for compiling and installing database systems, writing complex queries, scaling data to multiple machines and putting disaster recovery systems into place.

A data engineer should have a good understanding of structured and unstructured data and should be able to build pipelines that move data throughout an enterprise.


Purpose & Use:

This test will help you in measuring:

  • Proficiency in Hadoop Tools – Hive and Spark
  • Proficiency in R programming and libraries
  • Knowledge of NoSQL database – MongoDB
  • Knowledge of SQL database
  • Strong grasp in Data Warehousing and Data Modeling


Test Details:

This is a 35-minutes test aimed at thoroughly evaluating the knowledge, concepts, application and analysis in skills of the target audience as a Data Engineer. The test has 25 items divided into seven sections as follows:

  • 3 MCQ/MCA items based on Hadoop tool – Hive
  • 2 MCQ/MCA items based on Hadoop tool – Spark
  • 4 MCQ/MCA items based on R Programming
  • 4 MCQ/MCA items based on MongoDB
  • 4 MCQ/MCA items based on SQL
  • 4 MCQ/MCA items based on Data Modeling
  • 4 MCQ/MCA items based on Data Warehousing

Recommended experience bracket of target audience: 1-3 years

Difficulty level: Moderate


Why use Keyspec’s Skill Test?

Data Engineer assessment is specially designed to cater to the level of skills that a good beginner to intermediate level developer would be expected to possess. We can benchmark the test for specific job roles with a vast array of global target audience that have already given the test for that job role.

Key profiles the test is useful for:

  • Data Science Engineer (using R Programming)
  • Big Data Engineer (using R Programming)


How it works:

Step 1
Add this test to your cart and order online

Step 2
You will receive the test link via mail – send this to your candidate

Step 3
Candidate take the tests

Step 4
The test result is uploaded onto the client area.

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