This test, the Data Engineer (PySpark) test, will assess the candidate's proficiency in Python programming, Apache Spark, big data analytics, data warehousing, data modeling, data mining, and SQL.
The test will evaluate the candidate's ability to work with distributed computing frameworks, design and implement data storage solutions, and manage large and complex data sets.
Questions
20
Time
24 min
Level
intermediate
Used
4481
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Data Engineer (PySpark) assessments are crucial for HR managers and hiring companies looking to hire skilled professionals in data engineering. These assessments effectively measure the proficiency of candidates in PySpark, a popular data processing framework. Pre-employment screening through skill tests ensures better recruitment outcomes. Hirenest offers online assessments at an affordable price, making it a cost-effective solution for companies. With a range of aptitude tests, including examples, questions, and answers, it helps streamline the hiring process and supports HR managers in making well-informed decisions to hire the best-suited candidates.