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.”
Puan Mastura MansorPIndonesia
SCOMI GROUP BERHAD
Level 17, 1 First Avenue,
47800 Petaling Jaya
Tel: +012 208 0170 (HP) / 03-7717 3000 (O)
Mr. Mohd Rashid JamilPresident - Product Group
SCOMI GROUP BERHAD
Level 17, 1 First Avenue,
47800 Petaling Jaya
Tel: +6016 287 9626 (HP) / 03-7717 3000 (O)
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:
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:
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?
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.
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:
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...
04/2017 - 06/2019
Mentored a team of junior data engineers.
Used Java and Scala
I worked to develop algorithms for company systems.
Maintained current ETL workflow
Designed data processing pipelines.
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:
Big Data EngineerABC Productions
04/2017 - 06/2019
Lead a team of 15 junior data engineers at nationwide entertainment company
Facilitated the migration of a legacy of information using Netezza
Troubleshooted architectural design with existing data warehouse and data integration projects.
Managed and responded to RFPs to create estimates for sales cycles
Trained colleagues in Python, SPARK, and Parquet formats.
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.”
Volen Vulkov is a resume expert and the co-founder of Enhancv. He applies his deep knowledge and experience to write about career change, development, and how to stand out in the job application process.