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Professional Big Data Engineer Resume Examples & Guide for 2021

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Volen Vulkov Avatar
Volen Vulkov
8 minute read
Updated on 2021-04-21

With2.5 quintillion bytes of data created every day, it’s no wonder big data engineer jobs are skyrocketing.

You are the architects, the wranglers and the masterminds behind today’s constant flow of information.

The best big data engineer resume highlights your Hadoop skills and your NIL-error accuracy.

It proves your ability to deliver optimal user experience with today’s technology.

Above all, your big data engineer resume demonstrates on-the-job success.

Lay the foundation of your resume with program certifications, SQLs, and relevant frameworks.

Then, add on-the-job, large-scale data processing and the soft skills that made it a success.

Hiring managers look at hundreds of big data engineer resumes. Unlike data scientists and data analysts, you need to show how you can construct systems that transform how a company views their data’s potential.

Stand out from the crowd by proving that you build data projects from ideation to launch. Let’s explore the top big data resume samples that will help land you that interview.

A data engineer is the one who understands the various technologies and frameworks in-depth, and how to combine them to create solutions to enable a company’s business processes with data pipelines.
- Jess Anderson, Managing Director of Big Data Institute

This Big Data Engineer resume guide will teach you:

  • 8+ big data engineer resume samples and examples that lead to an interview
  • How to organize your SQL, framework, and service competencies
  • How to explain your big data engineer experience and achievements on your resume
  • Get way more job interviews by writing the perfect big data engineer resume

Big Data Engineer resume examples

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How to write a Big Data Engineer resume

Big data engineers have a bird’s-eye view of the IT world. They don’t simply understand the long list of frameworks, tools and DBMS programs.

Engineers utilize each of these tools to hone data streams and solve a specific problem.

Hiring managers will trim their pile of big data engineer resume examples by looking for keywords from the job posting.

If you’re right for the position, you should be able to include each of the skills, software names, and experiences from the job poster.

Your resume layout should tell a story of someone who understands what the company needs. Each section should be succinct, informative, and convey an expert tone.

Here’s what a recruiter will look for in your big data engineer resume:

  • Do you have training in leading data programs, languages, and programming skills?
  • What mathematical and statistical skills support your big data engineer training?
  • How did you implement your skills to solve big data problems in the real world?
  • Do you understand the company’s specific needs for your position?

The most important sections of a big data engineer resume:

  • Resume Header
  • Professional Statement
  • Professional Experience
  • Education and Training
  • Skills and Program Competencies

Tell the unique story of your skills in your big data engineer resume with the sections listed above. Managers should sense that you are confident about how you can expand their business.

You’re probably underestimating the importance of your big data engineer resume header

Let’s say you’re applying for a big data engineer position at IBM. There are hundreds of applicants. It’s intimidating, but you know you’re right for the job.

You start your resume off with this header:

Mark Costanza
Big Data Engineer
Boston, MA

Sure, it’s clear and succinct, but how does this make you stand out from the pile?

Hiring managers are looking for relevant keywords right at the top of your resume. Reel them in before their eyes get tired.

This is your chance to sneak in certifications and skill-based titles. You should also include accurate contact information so they can call you for an interview.

Mark Costanza - AWS and HDP
Certified Big Data Engineer

+359 88 888 8888


Boston, MA

Show off your GitHub and StackOverflow presence

While a painter can hand over a portfolio, a big data engineer shows their demonstrated skills through community repositories.

Include yourGitHub orStackOverflow links alongside your professional website and portfolio.

Presence on these community-based sites is ideal for green engineers looking to show off their completed projects.

A data-packed header proves that the rest of your resume is worth a hiring manager’s time.

They can return to your GitHub link to check out your skills in action after reading through your experience.

Then, launch your big data engineering resume with a strong professional statement.

Showcase your story in your big data engineer resume summary

The big data resume summary showcases who you are as a professional.

It excites the reader, enticing them to read further while ensuring them you took the time to read their job poster.

We recommend writing a statement for big data engineer resumes as opposed to a resume objective.

A statement is more clear, concise and specific.

This is the place to highlight relevant skills, certifications, and experiences specific to the job.

If the job posting suggested a must-have skill, be sure to include this in the professional statement upfront.

3 Big Data Engineer Resume Examples - Summary

Avoid a vague summary with minimal information:

Big data engineer with training and certifications in popular frameworks and data technologies. Interested in a position where I can help a company organize their data.

There are several things blatantly wrong about this big data professional statement:

  1. It’s unenergetic
  2. The language is vague
  3. It does not include the names of technologies or training
  4. It doesn’t specify how many years of training
  5. It is not tailored to the role

Write with specificity that will make you stand out from the crowd. Is Hadoop a basic requirement? No? Then save it for the skills section. Highlight the unique programs required for this role.

You can also include too much information in your big data engineer professional summary. In such a quick statement, every word counts.

Let’s say you’re applying to an online streaming company. They specifically need someone with Cassandra architecture knowledge. They need a team player who can communicate with cross-department teams. Here is an attempt at a professional statement:

A passionate and experienced big data engineer that wants to help you transform the way your company uses data and ensures your architectural design meets the needs of everyone in your company. I’ve been trained in Hadoop, Spark, Cassandra, MongoDB and am SAS certified. I can take all your data issues and solve problems with my ten years of experience.

Yikes. Let’s fix that up bit. What’s wrong with it?

  1. It’s far too casual
  2. Sentences run on and include unnecessary filler words
  3. Claims are not backed up by specific data
  4. Cassandra — the specifically required program — gets lost in the shuffle

This section is your elevator pitch. Start off with a strong introductory phrase stating who you are. If a professional asked what you do, how would you respond?

Continue with 3-4 “I” statements that include active verbs and data that backs up your findings. Include number of years of experience, specific industries you’ve served, and how you solved a company’s data problems.

A seasoned big data engineer with 10 years utilizing Cassandra, Spark, and MapReduce. I spent five years structuring large data sets for a Fortune 500 company by applying advanced statistical methods. I collaborated with a team of 15 data specialists to create machine learning applications. Seeking a dynamic role to improve a company’s data reliability and architecture with today’s top programs and frameworks

This example is much stronger by utilizing the space to its full capacity. The statement also mentions Cassandra right up front without hiding it in a long list.

Most importantly, this example proves your past big data successes. You don’t need to say that you’ll help the company, your experience and history says it for you.

How should you frame your big data engineer resume experience?

When you’re working in an ever-changing field, proving your experience in your big data resume is often more important than simply listing training and certifications.

Hiring managers should walk away from your resume with an understanding of how you made an impression on a company. What was the problem when you arrived and how did you solve it?

Your training and certifications will naturally shine in your experience section. Prove that you can turn to your Hadoop training into results by showing how you did it in the past.

The experience section of a strong big data engineer same includes:

  1. Software, tools, and frameworks mentioned in the job posting and relevant to their field
  2. Soft skills highlighted in the job posting and those that make you stand apart from a data scientist or data