Big Data developer test helps tech recruiters evaluate Big Data programming skills of candidates before the interview. With our innovative AI-LogicBox (AI-based Pseudo-Coding) questions accelerate technical screening and hire developers in quickly and conveniently.
A Big Data developer serves the Big Data needs of an organization while focusing on Hadoop solution lifecycle, including platform selection, designing technical architecture, requirement analysis, application development and design, testing, and deployment.
Big Data developer test is designed and validated by experienced Subject Matter Experts (SME) to assess and hire Big Data developer as per the industry standard.
Test Duration: 55 minutes
No. of Questions: 7
Level of Expertise: Intermediate
This assessment helps recruiters to assess candidate's knowledge of information processing in big data to massive, complex data sets that are rapidly generated and transmitted from a wide variety of sources.
This test aids the recruiters in evaluating candidates ability to use Hadoop for storing data and running applications on clusters of commodity hardware.
This test lets you check the candidates understanding of a data warehouse software that facilitates reading, writing, and managing large datasets residing in distributed storage using SQL.
Big data developer assessment helps you to quantify candidates ability to use Apache Spark for executing data engineering, data science, and machine learning on single-node machines or clusters.
This skills assessment help you find out candidate’s awareness about an SQL function where the input values are taken from a "window" of one or more rows in the results set of a SELECT statement.
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“We realized that to acquire quality talent, our recruitment process was in dire need of automation. Too many of our technical team were simply wasting hours conducting interviews that did not yield the desired results. For us, the foremost criteria was to find a recruitment partner who could tick all the right boxes.”