Tech recruiter shares insights and advice for IT pros with Hadoop skills looking to land a new gig.
Bay Area [for example] have weekly and monthly meetings about a wide range of data-oriented topics," Andrieux said. "Speakers for these meetups often are thought leaders who have had extensive experience in the field and can offer their advice on best practices. There are huge networking opportunities at Meetups and [they are] a great way to meet others passionate about engineering."
3. Learn the hiring lingo. Certain words and phrases in resumes, bios, and other job-hunting collateral will jump out at recruiters and hiring managers looking for Hadoop and similar skills. Andrieux offered three examples of the kind of phrasing that currently stands out: Designed and built massively scalable distributed data storage, systems, and pipelines, Led implementation on an xxxx node Hadoop cluster, and Built from scratch or built from ground up.
4. Hadoop jobs don't necessarily include 'Hadoop' in the title. If you're on the hunt, don't search too narrowly -- keep in mind that big data-related jobs come in various -- and sometimes generic -- guises. "We see titles such as Data Engineer or even common titles like Backend Engineer being used regularly," Andrieux said.
5. Stay plugged into the evolving landscape. Andrieux noted that Hadoop is a relatively young technology, as is the big data industry at large. As a result, it's especially important to stay on top of trends and changes if you're building a career in or around big data.
Always keep up on data conferences like Strata and Hadoop Summit. "These are great for identifying what is and is not working in the industry, and there is a wealth of companies to speak to at these conferences," Andrieux said. "Follow blogs and watch keynote speeches that leaders in the industry post on their company websites. And don't be afraid to talk with recruiters about their portfolio. We see trends develop much earlier than what is in the public eye."
6. Remember: Hadoop's not the only game in town. Hadoop remains hot, for sure, but keep in mind Andrieux's earlier point: It's not the only platform or skill in demand as a result of exponential data growth. "Hadoop is not the only option on the market for data needs," Andrieux pointed out. "Explore various other services and ask around on what other people like to use and its advantages and disadvantages."
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Kevin Casey is a writer based in North Carolina who writes about technology for small and mid-size businesses. View Full Bio
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