With 2.5 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.
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
Looking for related resumes?
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- Data Engineer Resume
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- Test Engineer Resume
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.
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:
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.
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.
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:
There are several things blatantly wrong about this big data professional statement:
- It’s unenergetic
- The language is vague
- It does not include the names of technologies or training
- It doesn’t specify how many years of training
- 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:
Yikes. Let’s fix that up bit. What’s wrong with it?
- It’s far too casual
- Sentences run on and include unnecessary filler words
- Claims are not backed up by specific data
- 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.
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:
- Software, tools, and frameworks mentioned in the job posting and relevant to their field
- Soft skills highlighted in the job posting and those that make you stand apart from a data scientist or data developer resume
- Niche experience in a field related to the job — entertainment, healthcare, or food industry for example
- How you used software to its fullest capacity to transform a company’s relationship with its data problems
It is easy to see the common pitfalls when you compare two big data engineer resume samples side by side.
Let’s see how applicants often get confused and how to write a big data project in your resume.
2 big data engineer resume experience samples
The experience section is a chance to tell your story. This isn’t always easy to do without structure. Many hiring managers look for the following answers:
- What data challenges existed when you first arrived?
- How did you apply your knowledge of machine learning, data reclassification, association, etc. to offer solutions?
- Did you solve the problem? What were the results?
- What quantitative data backs up your information?
Let’s take a look at the experience section without the answers to these questions…
The information here is too general. We can’t figure out the where, how, or why in these bullet points. Above all, there’s no story on the page. Let’s turn that around:
This example paints a real picture of the engineer’s day-to-day work. Their software experience, soft skills, and applied knowledge comes through the story itself.
How to describe the duties of a big data engineer on a resume
Here are some sample work experience responsibilities to consider for your big data engineer resume:
- Developed and implemented algorithms for analytics using a range of software programs
- Strong background in applying Hadoop infrastructures
- Managed and developed Hadoop clusters and services
- Applied Java, SQL, and Scala background for daily troubleshooting
- Managed and mentored team of interns and junior engineers
- Communicated meaningful data insights for the end-user
Remember, even early-career data engineers can demonstrate their on-the-job skills from past apprenticeships. List prominent mentors and how you assisted their efforts for doing the jobs listed above.
Does your big data engineer resume need an education section?
Absolutely. The career trajectory of a big data engineer widely varies.
The education section is a crucial part of the story, even if you took an indirect path to this career.
Education also shows where you obtained your foundation of skills like SQL and Java training. It proves if you originally came to big data from a statistical, IT, or business background.
Students often begin with data science analytics, computer science, or statistics degrees. Include specific coursework that hits those job posting keywords one more time.
Did you receive invaluable training during a mentorship with a notable expert? Include this here as well!
Which skills do employers look for in big data engineer resume?
Big data engineers speak a unique language. They must be able to access a mass of information from a growing list of today’s technologies.
Include all the programs, languages, and frameworks specified in the job posting. Also include all programs mentioned in your work experience section.
Soft skills are just as crucial for data engineers. Your role requires constant collaboration to solve complex issues and communicate solution with your peers.
LinkedIn interviewed 1,200 hiring managers to determine which soft skills are most in-demand and adaptability came out on top. Additional soft skills include culture fit, collaboration, leadership, growth potential, and prioritization.
How to include your certifications on your resume
Many big data engineers get their start with a base of certifications. Demonstrating your skills is the key, but it all begins with proper training.
List all relevant and job post-specific certifications on your big data engineer resume.
What are the tricks for writing the best big data engineer resume?
- Include all required information from job posting
- Highlight demonstrated skills and problem-solving experience
- List experience in reverse-chronological order
- Pinpoint industry-specific and niche experience
- Showcase your drive and curiosity for pursuing this career
- Tell a story of your journey from education to today