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Data Engineer Test for Recruitment

Data Engineer test evaluates a candidate's proficiency in Hadoop, R, Mongo DB, SQL, Data Modeling and Data Warehousing. The data engineer assessment evaluates Data Engineers who are responsible for creating reports, dashboards, data pipelines, and optimizing Python code to run it in C or Java.

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Inside This Assessment

The Data Engineer assessment from Mercer | Mettl is used to assess a candidate's skills in applications and harvesting of huge data. The test also evaluates their proficiency in creating interfaces and mechanisms for the flow and access of information. 

Designed by subject matter experts, this 35-minutes test includes 25 MCQs to test the cognitive abilities of an applicant. This Data Engineer test evaluates a candidate's proficiency in Hadoop - Hive, Hadoop - Spark, R-programming, MOngo DB, SQL, Data Modeling and Data Warehousing. The mentioned skills of the candidate are measured on three levels; basic, intermediate and advanced.

Key profiles this Data Engineer test is used for:

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


This Assessment is a part of following Skills Libraries

Data Engineer Competency Framework

Get a detailed look inside the test

Competency Under Scanner

Data Engineer


Hadoop - Hive

This Data Engineer assessment evaluates Hadoop - Hive - Application on basic, intermediate and difficult level.

Hadoop - Spark

This Data Engineer assessment evaluates Hadoop - Spark - Application & Concept on basic and intermediate level.

R Programming

This Data Engineer assessment evaluates the following subskills in R-programming; R - General - Application, R - Functions - Application and R - ggplot2 - Application.


This Data Engineer assessment evaluates the following subskills in MongoDB - Aggregation - Application, Basics - Application, Indexing - Application and JSON Query - Application.


This Data Engineer assessment evaluates the following subskills in SQL; DDL Commands - Application, DML Commands - Application, Joins - Application and Sort - Application.

Data Modeling

This Data Engineer assessment evaluates the following subskills in Data Modeling; ER Model - Application, Normalization - Concept, Techniques Tools and Implementation - Application and UML - Concept.

Data Warehousing

This test assesses the following subskills in Data Warehousing: Data Design - Application, Data Integration - Application, Dimensional Modeling - Application and OLAP - Relational - Analysis.

Customize This Test

Flexible customization options to suit your needs

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Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.

Combine multiple skills into one test

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Add, edit or bulk upload your own coding questions, MCQ, whiteboarding questions & more.

Request a tailor-made test

Get a tailored assessment created with the help of our subject matter experts to ensure effective screening.

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Frequently Asked Questions (FAQs)

The majority of the questions centers on a candidate’s understanding of data warehouses, ETL development, scripting, and NoSQL.
 Here are a few questions that might come in handy if you are preparing for an interview:
 What would be your approach to develop a new analytical product?
 Is there any difference between a data warehouse and an operational database?
 Can you tell us about a time when you faced issues with an ETL, and how did you handle it?
 Do you have experience in PowerShell, Bash, Java, Python?
 That’s the long and short of it. Even though we have included conceptual questions, what matters most is your expertise in SQL, Python, and R, etc. 

Yes, at Mercer| Mettl, it can be done. Please write to us if you seek further information; we will be happy to assist you.

Yes, at Mercer|Mettl, it can be done. Should you need any further information, please write to us, and we will be happy to assist you. 

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