This Apache Spark for Data Engineers test evaluates a candidate’s ability to use Apache Spark for large-scale data processing. This hiring test will help you hire data engineers who have practical experience using the Spark framework.

In today’s era of big data, businesses need powerful tools to process and transform it, and Apache Spark is one of the most powerful tools available today for big data operations. Since its release in 2009, its use has exponentially ramped up among companies that work with some of the largest datasets. 

Though one of Spark’s key advantages is its ease of use, it takes an experienced data engineer to make the best use of all of its features.

When you hire data engineers already well-versed in Apache Spark, your data projects will be completed more quickly, allowing your business to focus on implementing the solutions that the data implies.

This Apache Spark for Data Engineers test evaluates candidates’ abilities to apply their understanding of Apache Spark fundamentals, use Apache Spark for data transformation and processing, use Spark Core, and use Spark Streaming/Graph X.

This screening test will help you identify data engineers and other professionals who have strong experience with the Spark framework. Candidates who do well on this test will be able to efficiently problem-solve and execute on common Apache Spark scenarios they are likely to encounter on the job.