Data Engineer Test

What is a data engineer skills test?

Data engineers design and build systems to collect, store, analyze, process and share data.

The data engineer skills test is specially designed to assess prospective data engineers on their skills and qualifications, to help hiring managers and recruiters make the best decisions when filling a vacancy.

The test itself is a broad look at everything you might need to know as a data engineer. It can cover coding and proficiency in Hadoop - Hive, Hadoop - Spark, R-programming, MOngo DB, SQL, Data Modeling and Data Warehousing, as well as more general skills and knowledge of how to harvest data.

What are the benefits of using the data engineer skills test for pre-screening?

Perhaps the biggest benefit of using the data engineer skills test is being able to get a clearer view of candidates’ skills, and see whether they match up to the experience detailed on their resumes.

Many recruiters or hiring managers will use a skills test such as this as a pre-screening device. This improves the efficiency of the overall process as it ensures you’re only meeting with really strong candidates, as evidenced by their test results.

Another benefit of using the data engineer skills test before you get to the interview stage is that it can help remove unconscious bias from your hiring practices, by asking recruiters and hiring managers to focus on data and test results as metrics for success rather than anything else.

The test tends to be multiple choice and will take place against the clock. The time pressure is designed to elevate the complexity of the test

Although all of these roles are different, the data engineer skills test could also be used when hiring for:

• Data analyst
• Data scientist
• Database administrator
• Data architect
• Business analyst
• Data entry operator

How our test measures data engineer skills

Test questions are designed to assess industry-specific technical skills, soft skills, aptitude and suitable personality dimensions. Our data-driven approach provides results that enable you to determine how suited is a candidate for the role.

Depending on the type of question, the format of the test may vary. Multiple-choice questions are used to measure aptitude, technical skills and soft skills, while agreement on a Likert scale assesses suitable personality dimensions. Skills tests ensure that candidates are being evaluated in a precise and impartial manner, their results demonstrating the true knowledge and potential of each test taker.

The characteristics required to become a data engineer were determined by looking at the skills and abilities listed in the US Department of Labor’s O*NET database, which collects data from professionals in various fields.

O*NET is the largest database of its kind, providing detailed information about occupations and the requirements for each role.

Our team of I/O psychologists and psychometrics worked closely with subject-matter experts to create an extensive question bank that can be used to test multiple candidates. We also conducted rigorous field testing with a representative sample of candidates to ensure that the questions were reliable and valid.

Test scores are averaged together to give an overall score. The average score is compared to other candidates' scores to ensure there is no bias toward certain candidates.

Our data engineer test is constantly updated and optimized to ensure the best experience and results.