Data Engineer Test: Assess crucial skills before hiring Data Engineers
The Data Engineer Test helps screen candidates for their knowledge and understanding of Hadoop, R, Mongo DB, SQL, data modeling and data warehousing. The test allows evaluators to gain an in-depth insight into the candidates' technical skills and experience to determine whether they can prove their competence as successful data engineers.
Availability
Ready to Use
Test Type
Coding
Experience Level
1-3 years
Difficulty Level
Moderate
Test Duration
35 Minutes
Total Questions
25 MCQs
Relevant Job Roles
Data Engineer, Data engineer jr., Data engineer (using R programming)
Scores Reported
English
Inside this Data Engineer Test
A Data Engineer Test is a pre-employment assessment tool for hiring managers and recruiters to screen and evaluate applicants and identify top job candidates for data engineering roles. This test evaluates a person's technical skills, understanding and familiarity with data modeling, database systems, warehousing, cloud technologies, and big data technologies.
Designed by subject matter experts, this 35-minute test includes 25 MCQs to determine the eligibility of candidates for data engineering positions. By assessing a candidate's proficiency in data engineering tools and technologies, this test enables hiring managers to make objective hiring decisions and build a team of competent data experts with exceptional skills.
Key profiles this Data Engineer Test is used for:
- Data engineer jr.
- Data engineer
- Data engineer (using R programming)
Overview
Organizations need the expertise of data engineers to design, develop, and maintain the systems and infrastructure necessary for the effective processing and storage of a tremendous amount of data. Data engineers help ensure that databases and data pipelines are scalable, efficient, and reliable while optimizing data storage, retrieval and distribution procedures. Hiring data engineers is essential because it allows organizations to tap the full potential of their data by offering crucial technical expertise and infrastructure for data analysis while mitigating the risk of data-related hassles and errors.
However, employers must use the Data Engineer Pre-employment Screening Test to ascertain the job suitability of candidates before hiring them. The test is crucial because it helps employers determine whether applicants have the technical expertise and knowledge necessary for the data engineer role. After all, hiring the right data engineer can be essential for the success of an organization's data-driven projects.
The importance of the Data Engineer Assessment in the hiring process is that it helps evaluators identify the most deserving candidates. In addition, by evaluating a test-taker's skills and knowledge beforehand, employers can screen out applicants who lack the necessary skills or experience and select the right-fit talent for the next stage of the hiring process.
This pre-employment test covers a range of topics, as listed below, to gauge the depth and breadth of a candidate's data engineer skills:
- Hadoop - Hive: Questions based on Hadoop and Hive applications
- Hadoop - Spark: Questions based on Hadoop and Spark concepts and applications
- R Programming: Questions based on general R application, R functions, and application of the ggplot2 package
- MongoDB: Questions based on MongoDB's architecture, data modeling, and data querying
- SQL: Questions based on applications of DDL commands, DML commands, joins, and sort
- Data modeling: Questions based on applications of ER model, normalization concepts, techniques, tools and implementation, and UML concepts
- Data warehousing: Questions based on applications of data design, data integration, dimensional modeling, and relational OLAP.
The evaluation of these skills in the test is done in multiple-choice question (MCQ) format. The customization of the test may depend on the needs of the employer/client and the nature of the role.
SKILL LIBRARY
This Data Engineer Test is a part of following Skills Libraries
Data Engineer Test Competency Framework
Get a detailed look inside the test
Data Engineer Assessment Competencies Under Scanner
Competencies:
Hadoop - Hive
The Data Engineer Test evaluates candidates' skills in using Hadoop and Hive applications.
Hadoop - Spark
Questions in this section extend across the Hadoop and Spark technologies, including their applications and concepts.
R programming
The test assesses candidates' proficiency in R programming: General R application, R functions, and application of the ggplot2 package in R.
MongoDB
The test measures candidates' proficiency in the following subskills of MongoDB: Application of aggregation in MongoDB, basic concepts and application of MongoDB, application of indexing in MongoDB, and application of JSON query in MongoDB.
SQL
The test evaluates candidates' proficiency in the following subskills of SQL: Application of DDL commands, application of DML commands, application of joins, and application of sort in SQL.
Data modeling
The assessment helps evaluate proficiency in the following subskills of data modeling: Application of ER model, understanding of normalization concept, application of techniques, tools, and implementation in data modeling, and understanding of UML concept.
Data warehousing
The following subskills of data warehousing are evaluated in this test: Application of data design, application of data integration, application of dimensional modeling, and relational OLAP.
Customize This Data Engineer Test
Flexible customization options to suit your needs
Set difficulty level of test
Choose easy, medium or hard questions from our skill libraries to assess candidates of different experience levels.
Combine multiple skills into one test
Add multiple skills in a single test to create an effective assessment. Assess multiple skills together.
Add your own questions to the test
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)
1. Can we benchmark candidates based on our internal sample set for the Data Engineer Test?
The Mercer | Mettl Data Engineer Test is tailored for recruitment. However, we can do benchmarking for custom sample sets as well. Please write to us about your request; we will gladly assist you.
2. Can we customize the Data Engineer Assessment report to include specific analyses?
We have previously customized Data Engineer Assessment reports based on the client’s requirements. So please write to us with your request, and we will gladly provide a solution.
