Resume Enhancements to Make Your Big Data Knowledge Stand Out

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27 January 2015
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When updating or revamping your resume, the ensuing stress can be enough to cripple even the most seasoned professional. It can feel as though one misstep – one poorly crafted objective statement or an underrepresented skill – will dash your hopes of landing a great job, especially in the highly competitive world of big data.

While every hiring manager will have unique criteria by which they judge big data candidates, there are some do’s and don’ts that you can keep in mind to help your resume stand out from the crowd.

What to Include on a Big Data Resume

If you want to improve your chances of landing in the “yes” pile, be sure your resume includes these elements:

  • Object-oriented programming in dynamic languages – Big data applications require strong Java skills. Many hiring managers will look for candidates who started off in a C++ environment and then moved into Java, showing they have several layers of experience.
  • Direct distributed systems knowledge – This experience is extremely important for hiring managers. Direct distributed systems experience shows that you have spent time working in a true big data environment.
  • Personal interest in the subject matter – Many hiring managers like to see that candidates are part of the greater big data community. If you are a member of a local meet-up group, if you have achieved big data certifications on your own time, or attended big data conferences and seminars, include these items on your resume to show that you are passionate about the field.
  • Experience with open-source big data platforms – Getting involved in open-source projects is another way to show hands-on big data experience and a passion for the field. Some examples are Hadoop, MongoDB, Riak, Flume and Storm.

Any exposure that you have had to big data, whether on the job or in your spare time, can be seen as an asset to hiring managers. Don’t shy away from including personal projects or groups when crafting your resume.

Things to Avoid on Big Data Resume

It’s just as important to know what not to do when writing a big data resume. Here are some tips to help keep you in the running:

  • Avoid buzzwords for buzzwords’ sake – If you have limited big data experience, don’t try to overcompensate by over using buzzwords. Be sure that your resume includes keywords from the job posting to which you are applying, but don’t go overboard. Hiring managers know how to parse out substance from hype.
  • Don’t bury relevant experience – Instead of a chronological resume, put your most relevant big data experience near the top, or include a “relevant skills” section before you list your previous positions. Don’t make hiring managers have to search for your qualifications.
  • Don’t apply if you don’t meet the requirements – If you do not meet the technical requirements of the job, don’t apply. If you want to get exposed to big data applications but you are having difficulty breaking into the field, get involved in the greater big data user groups or associations. Attend conferences, join meet up groups and get involved in open source projects. As you expand your experience and your network, you’ll be better positioned to apply for big data positions.

If you are a big data professional looking for new opportunities to grow your career contact Onboard Recruitment Advisers today. We specialize in analytics and business intelligence positions in a variety of fields, and we work with some of the most innovative companies in the country. We look forward to helping you take the next step in your career.

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