Crafting your perfect Big Data engineer resume is going to really get you noticed in a field that is becoming increasingly sought after. It’s well worth showing your unique set of skills and see how quickly you get snapped up by employers, ready to start in your dream job.
With all of the competition in the market nowadays, you`ll need to dedicate some time and patience to carefully outline and fill out your resume.
All you need to get the ball rolling is a fantastic resume that places you head and shoulders above the competition.
1. Be Concise
Take your time when creating your resume, this is your one shot at making it count. Employers accept or reject resumes within 30 seconds of seeing one, so getting your appearance right is absolutely crucial. Look at several of the free templates on offer to find one that suits your style and the industry you are hoping to work in.
Your resume should be no more than a page long. That might be hard considering that you could have a lot of experience. But you could, for instance, select a few highly relevant jobs - perhaps the job ad says they need you to create POCs to ingest and process streaming data using Spark 2.1.0 and HDFS, you should add a job relevant to that in your resume. Check out the job ad for more hints on what the company needs and add relevant jobs to your experience list - be it managing data or using Hadoop.
2. Show All Your Skills
Traditional resumes work because they answer all the questions from the job description, which is mainly the hard skills that you have learned over your years of experience. For example, you may have a lot of knowledge and experience in Apache Hadoop Ecosystem like HDFS, MapReduce, Hive 2.1.1, Sqoop 1.99.7, Oozie 3.1.3, HBase 1.3.0, Spark 2.1.0, Scala 2.12.0, Nifi 1.1.2, Storm 1.0.2 and so on.
You can and should list only the ones the company requires you to have. The rest you could place in a single bullet point, just as an interesting detail about you and something that could put you above other big data engineers.
There are also times when soft skills are equally as important and they should be highlighted on your resume. For a Big Data engineer you might find yourself flagging up your incredible attention to detail, or abilities to communicate your findings in a clear and understandable way. In short, soft skills show those parts of your personality that might not be obvious at first glance.
When writing these down, make sure you have an example to back them up. Even better, is an example with figures attached where you have made a tangible difference to some element of your former employment.
With this in mind, you should still include your hard skills, again providing an example and set of figures where applicable.
3. Get Language and Style Right
Once you’ve got your template looking its best and have made use of a chronological approach to show your qualifications and previous employment, then it’s time to start making every word count. Dates should be accurate and the whole resume should be free of spelling errors and punctuation mistakes. If you need some extra support, make use of these tools to help you:
- Resumention: for general tips and help writing your resume. Use this resource to get your language and overall appearance just right.
- Do My Assignment and Academized: useful online proofreading resources as recommend by Assignment Help.
- Studydemic and LetsGoAndLearn: these two popular tools will help you plan and craft your content with their helpful grammar guides.
- Revieweal and UKTopWriters: use these tools to help with online editing and making sure everything is just right.
- StudentWritingServices and Boomessays: two writing guides that will offer you great advice in tailoring your content for specific needs
Use these tools to get everything just right and you’re ready to start sending out your resume to potential employers.
4. Include Your Certifications
Even if you have extensive education in big data engineering, these certifications are not only desirable but required in some cases. Here are some certifications that you should definitely get and put on your resume:
- Amazon Web Services Big Data Specialty Certification
- Cloudera certifications
- Microsoft Certified Solutions Expert: Data Management and Analytics
- Microsoft Azure Certification Exam 70-475
Big Data engineering jobs don’t come around every day and as this field continues to flourish, it’s down to you to show employers how you can make a difference to their organization. Just getting everything down on to one piece of paper isn’t enough anymore: your resume should be smart and concise and show the very best of what you have to offer.
Getting your name on the top of the pile could be all you need to make sure you get your foot in the door. Make use of these hacks and see how far a great resume will take you.
Grace Carter is a tech writer at Paper Fellows and OXEssays, services that help people build careers and improve job search. Also, Grace teaches business writing at BigAssignments website.