Even though big data technology has been around for some time now, it has been earning more attention in more current years.
As a growing number of companies opt to incorporate big data solutions into their operations, there is expected to be increasing demand for qualified information technology professionals. With that said, businesses trying to hire candidates who actually have the knowledge and the training to handle high volumes of information can be a challenge.
IT job seekers can make corporate recruiters’ lives easier – not to mention their own – by building up their résumés in such a way that they would make a viable data scientist for any organization. Given that the big data trend has only recently taken off, there is still a limited number of resources available to those attempting to gain the education and experience that they need in order to truly perform in this type of IT position,
Big Data Republic explained that it takes so much more than formulaic, information technology talent to carry out the tasks delegated to today’s data scientists. If job applicants want to take on a role that requires them to examine, interpret and manipulate big data, then they are going to have a wide variety of other faculties. Among the many skills expected of this unique breed of IT professional, communication and even creativity are key.
Branching out of conventional IT training
Traditional polytechnic education will not necessarily allow students to cultivate their different talents, particularly those not related to their specific IT vocation. For this reason, they are likely going to have to take matters into their own hands if they want to set themselves up for landing a job in big data.
The news source’s Saul Sherry spoke with experienced data scientist Neil Biehn, who advised that those in the tech field take the initiative and develop talents not normally associated with their industry on their own. This seasoned IT professional recommended that the first thing an individual do is explore his or her options for internships.
“The number one thing is to go get an internship, as it shows you how to interact in a business,” Biehn said. “Groups at university where students have to present to each other are ideal.”
Because so many organizations are adopting big data practices, in addition to other advanced technological tools, the entire landscape of information technology employment will be evolving. Companies have already begun to blend the responsibilities designated to certain positions. Tech professionals now have to boast not only their IT skills, but also a fair share of business-oriented talents.
Given that up until this point, tech jobs were mainly limited to carrying out IT functions, there wasn’t a need for employees in these positions to interact with other divisions of corporate operations. However, that has all changed, especially for those working with big data.
Now that technological roles have become an integral component of general business functions, aspiring IT professionals are going to have to step up their game and become more well-rounded. By taking business classes or completing internships, individuals will be able to gain insight and experience into the corporate world, which will help them further down the data scientist track.
Does it pay to be specialized?
Students who are looking to embark on a big data career endeavor may not want to go full force with their investment. Even though a significant number of organizations are expected to rely on the work of data scientists, there is no guarantee that they are going to be creating positions and taking on new hires to accommodate this emerging demand.
According to CIO, companies are expected to fill their need for data scientists in a more economically efficient manner. Instead of pouring money into recruiting talent and putting more names on payroll, many businesses will be looking internally to tap into ever-expanding information resources.
“If you want some predictive analytics, you’re going to need to hire a few of these data scientists, but whole armies? That’ll be too expensive,” stated Roger Gaskell, CTO of Kognito, according to the news source.
Companies circumventing big data employment
In most cases, organizations may take on a handful of specialized data scientists. Other than that, they will be supporting these IT staff members with business analysts who can help take any information acquired from big data analytics and apply it to the rest of their operations.
Additionally, companies will be working with the talent that they already have, training existing employees in the ways of big data. This will limit the costs associated with data science labor, eliminating the need to seek out, hire and onboard any new talent who has a specific background in this niche field.
Organizations will ensure that the professionals working with data are familiar with their business. This will increase the likelihood of IT personnel using the right information, and in the correct fashion, to ultimately benefit their organizations to the highest degree possible.
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