Home Big Data 5 Essentials of a Big Data Resume

5 Essentials of a Big Data Resume


According to Linkedin’s 20 fastest-growing jobs in the US Report, jobs relating to big data fall in the top percentage. This means the competition for big data jobs must be high as well.

There are plenty of candidates in the job market with the right set of skills but only a handful of them will land their dream jobs. You need to know how to market yourself to get that handsomely paying big data job and overcome hurdles before you reach anywhere near the finish line.


With this article, you will learn the 5 essentials of a big data resume to get ahead of the competition and land your dream job.

Use performance figures to substantiate your Big Data achievements

Just writing about your achievements is never enough. You have to back them up with evidence to support your competence and showcase your expertise.

Recruiters want to see that you can get results and what better way to show it then your past feats?  So, rather than vaguely describing the roles and responsibilities you formerly held, back them up with important metrics and performance figures.

You can give numbers relating to what you added to the company, like revenue generated or the number of employees you trained. Or if you helped save time or other resources, that would be a good piece of information to add as well.


  • Deployed Storm to develop a 96% accurate real-time analytics and ingestion platform
  • Designed a risk management algorithm to manage trade risk with 100% efficiency

Write a brief yet informative summary

It is a real possibility that your recruiter will skim through your resume summary to find out if you are an eligible candidate or not. This saves your recruiter’s time as now they can decide if they want to go through the rest of your resume or not.

Here are a few tips that will make any recruiter want to read your resume:

  • Your summary on resume for the big data science job you are targeting should include your functional industry-relevant skills and career highlights.
  • It should articulate your suitability for the job by proving your indispensability through a practical demonstration of the value you can deliver with your expertise in big data.
  • In other words, your summary should act as a sales pitch outlining the points that make you an ideal candidate for the big data job of your dreams. 

Take the above-mentioned points into account to draft an impeccable summary. Here’s a blueprint of what an effective summary for a big data resume should look like:

“5+ years experienced Big Data Architect with a proven track record of deploying Artificial Intelligence for processing datasets & extracting insights to identify and solve industry challenges. Highly proficient in optimizing neural networks & employing deep learning methodologies to ensure effective strategy formulation & implementation. Adept at ML/DL techniques & Predictive Analysis to successfully execute projects and deliver business value.”

Customize your resume according to your target big data job

When it comes to applying for jobs, you can choose one of two paths. You can either draft a generic resume and use it to apply for every job or invest your time in only the jobs you are interested in.

Uploading the same resume and clicking ‘send’ a bunch of times for different jobs is an easy task. However, sending a customized resume that you have tailor-made for each job is not as easy.

When it comes to getting shortlisted for jobs, quality transcends quantity. 

This is why you should strictly tailor your resume according to the big data job that excites you the most instead of mindlessly applying for jobs. By scrutinizing the job description and tailoring your resume according to that particular job, you can enhance your shortlist chances drastically.

Follow the given-blow tips to learn how to effectively tailor your resume:

  • Keywords hold the keys to the gatekeepers known as the applicant tracking system. You’ll find these keywords in the job description, identify them.
  • If these keywords apply to you, that is, if you hold the skills/experience/education the recruiter is looking for – replicate them in your resume.

Applicant tracking systems scan resumes for keywords (among other things) to shortlist candidates. Including keywords will get your resume closer to a shortlist.

Doing this helps you build a shortlist-worthy big data resume. 

Use the perfect resume format

The structure is the backbone of your resume. You could have all the right skills and qualities and yet not get selected if you merely dump this information unsystematically on a piece of paper.


The ideal structure would be the one that presents relevant information to the recruiter. In our opinion, there is no format that does this job better than the reverse-chronological format.

It organizes the details of your data science education, internships, and professional experience in a reverse-timeline order, thus making it easy for the recruiter to navigate your professional timeline.

This is the ideal format to write a job-winning big data resume

Give your contact number and email details for communication

Did you know that you won’t get the big data job even if an organization is impressed with your resume?

As unfair as it may sound, this has happened time and again just because professionals have forgotten to add their contact details in their resume.

In case of a potential shortlist, a recruiter will reach out to you via email or a phone call. Most employers might even warm up to the idea of a telephonic interview to gauge your confidence and appealing factor. 

They can’t do so if you fail to present your contact information in your resume!

So the fifth and final essential of a big data resume is contact details. Make sure your resume has them.


Being one of the fastest-growing and best-paying jobs, big data jobs are inevitably competitive. You can use every means to distinguish yourself. 

These are the 5 essentials that your big data resume needs:

  • Write an informative resume summary in under 5 lines.
  • Use numbers to substantiate your big data expertise. 
  • Tailor your resume according to each job you apply for.
  • The reverse-chronological format is your best bet to effect an impeccable resume.
  • Do not forget to put your contact details.

Author’s Bio:

Aditya Sharma

A passionate entrepreneur, tech-junkie, and career-building enthusiast, Aditya lives and breathes Hiration — an AI-powered online resume builder and platform to help professionals land their dream jobs — one job application at a time.