Aran Davies is a full-stack software development engineer and tech writer with experience in Web and Mobile technologies. He is a tech nomad and has seen it all.
The complex world of big data analysis wouldn’t be what it is today were it not for Apache Hadoop (HDFS or Hadoop for short). Its software framework is designed to facilitate the analytical process and storage of big data. Its well-designed structure has made it a favorite among companies where the need to analyze large chunks of data is a fundamental aspect of their business model. Due to the framework’s popularity as well as the increasing need for experts in big data, more and more software developers are making an effort to master Hadoop. However, the increase in software engineers with Hadoop skills makes it even more challenging for businesses to sift through applicants to secure the right professional.
At present, the future for Hadoop could never be more promising. According to market research conducted by Allied Market Research, the market value for Hadoop is expected to leap from its $26.74B value in 2019 to a whopping projected value of $340.35B by 2027. This forecast market value is a direct result of the increasing interest and use of Hadoop as a top big data Software as a Service (SaaS) solution. However, as more businesses continue to leverage the power of Hadoop, the challenge of sifting through applicants will become even more of a cumbersome task.
Model your Hadoop developer job description after our template to increase your chances to reel in a software engineer who not only has the skills in Hadoop you’re looking for, but the professionalism to integrate seamlessly into your company.