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Core Corporate Functions>Data Engineer Test

Data Engineer Test to evaluate candidates' skills for data engineering positions

The Data Engineer Test assesses candidates' proficiency in Hadoop, Python, SQL, data modelling, and data warehousing. It also evaluates candidates' practical programming skills in Python 2 and 3 through a sophisticated programming simulator. The test provides evaluators with a comprehensive understanding of candidates' technical abilities and experience, enabling them to determine if they can demonstrate their competence as accomplished data engineers. 

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Inside this Data Engineer Hiring Test

The Data Engineer Test is a pre-hiring assessment for hiring managers and recruiters to evaluate and screen applicants for data engineering positions. Developed by industry experts, this 60-minute test consists of 19 multiple-choice questions and a coding challenge that serves as a benchmark for candidates competing in this field. It covers essential competencies for success in data engineering, including SQL proficiency, data modelling skills, data warehousing knowledge, Python programming abilities, and expertise in Hadoop technologies. 

By assessing candidates' proficiency in data engineering tools and technologies, this test enables hiring managers to make objective hiring decisions and build a team of skilled data experts. The test structure includes questions assessing candidates' understanding of SQL concepts, data modelling and warehousing fundamentals, proficiency in Hadoop and Python, and a coding exercise in Python. Administering this test streamlines the hiring process for data engineers, ensuring that only the most suitable candidates secure these critical roles. 

The Data Engineer Test is primarily used for the following roles: 

Senior Data Engineer 

Data Engineer 

Software Data Engineer 

Total Questions: 19 multiple-choice questions + 1 coding challenge Test 

Duration: 60 minutes 

Relevant Experience: 4-6 years 

Overview 

Organisations heavily rely on the specialised skills of data engineers to design, develop, and maintain complex systems and infrastructure necessary for the efficient processing and storage of large datasets. These professionals are critical in ensuring the scalability, performance, and reliability of databases and data pipelines while optimising data storage, retrieval, and distribution methods. Hiring skilled data engineers is crucial for organisations to leverage their data entirely, providing essential technical expertise and infrastructure for data analysis while mitigating risks associated with data-related challenges and errors. 

Therefore, employers must utilise the Data Engineer Hiring Test to assess candidates' suitability before hiring. This test is indispensable in evaluating whether applicants possess the technical proficiency and knowledge required to excel in the data engineer role. It emphasises the importance of selecting the right data engineer, as this decision can significantly impact the success of an organisation's data-driven projects. 

The significance of the Data Engineer Test in the hiring process cannot be overstated. It assists evaluators in identifying the most qualified candidates, allowing employers to filter out applicants who may lack the essential skills or experience. Doing so streamlines the selection of the most suitable talent for further stages of the hiring process. This approach ensures that only the best-fit candidates progress, optimising the hiring process and increasing the likelihood of a successful outcome. 

 

Data Engineer Test Competency Framework

Get a detailed look inside the test

Data Engineer Assessment Competencies Under Scanner

Data Engineer Test

Competencies:

SQL

The SQL portion of the test covers questions that assess proficiency in various skill sets, including queries, joins, sorting, and data definition language (DDL) commands.

Data modelling

The data modelling section of the test includes questions that evaluate knowledge and understanding of key skill areas such as the ER model, dimensional model concepts, normalisation, and UML concepts.

Data warehousing

The data warehousing section of the test includes questions that pertain to skill domains such as data design, data integration, dimensional modelling, and data modelling.

Python 3

The test section focusing on Python 3 covers various skill areas, including Python 3 functions, classes and operators, object-oriented programming (OOPS) concepts, and general programming.

Hadoop

The test's Hadoop section consists of questions that relate to the following skill domains: general knowledge, HDFS, and MapReduce.

Hands-on programming

The hands-on programming section of the test includes questions focused on Python 2 and 3, using the Codelysis simulator, a robust tool for simulating and practising programming concepts.

Customise 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.

The Mercer | Mettl Data Engineer Assessment Advantage

The Mercer | Mettl Edge
  • Industry Leading 24/7 Support
  • State of the art examination platform
  • Inbuilt Cutting Edge AI-Driven Proctoring
  • Simulators designed by developers
  • Tests Tailored to Your business needs
  • Support for 20+ Languages in 80+ Countries Globally

Data Engineer Test Can Be Setup in 4 Steps

Step 1: Add test

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Step 2: Share link

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Step 3: Test View

Candidate take the test

Step 4: Insightful Report

You get their tests report

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Frequently Asked Questions (FAQs)

The Data Engineer Test assesses a candidate's proficiency in critical competencies such as SQL, data modelling, data warehousing, Python, and Hadoop. This assessment allows recruiters to measure their technical skills and knowledge of database systems, cloud technologies, and big data technologies. Using this test, recruiters can make objective and informed hiring decisions, ensuring they select candidates well-suited for data engineering roles. 

The Data Engineer Test can be customised to align with an organisation's unique requirements and technology stack. The experts at Mercer | Mettl assist in tailoring the test to emphasise the specific tools, technologies, or concepts most relevant to the organisation's data engineering roles. This customisation ensures that the evaluation process closely aligns with the company's goals and requirements. 

Once the Data Engineer Hiring Test is completed, comprehensive reports summarise the candidates' performance in each competency area. These reports are user-friendly and provide valuable insights into the applicants' strengths and areas for improvement. Additionally, Mercer | Mettl offers support and guidance to help the hiring team understand and interpret these results effectively. The team is available to address any queries and assist the hiring team in making data-driven decisions based on the assessment outcomes.