Businesses rely on big data to gain insights, make informed decisions, and stay ahead of competitors. This demand for big data hasn’t gone unnoticed, with many companies scrambling to find someone capable of handling and understanding massive data sets. Big data engineers are a relatively new position for most businesses, so plenty of open positions exist. However, that doesn’t mean they aren’t competitive. To land a job in this field, having a resume that reflects your expertise in working with big data is crucial.
If you need assistance with your resume, we recommend getting expert help from a resume writing service. When your resume is updated, you can then start applying for new opportunities on ZipRecruiter.
Big Data Engineer Resume Example
Zackary Fitzpatrick
4056 Hinkle Deegan Lake Road, Liverpool, NY 13088
315-572-9230
EXPERIENCE
BIG DATA ENGINEER
Gerlach, Adams and Harber -> 07/2019 – present
DALLAS, TX
- Excellent understanding of DBMS (database management systems), ETL (Extract, Transform, Load) and OLAP (Online Analytical Processing) principles and frameworks
- Knowledge and experience with Azure storage, Bl and Analytics services
- Experience with data reporting and visualization tools (preferred experience with Microsoft Power BI)
- Familiarity with other Big Data technologies (e.g., Spark, Informatica)
- Learn from top leaders from around the world
BIG DATA ENGINEER
Schowalter-Krajcik -> 06/2016-04/2019
DALLAS, TX
- Strong expertise with Big Data tools and related technologies such as Databricks/Spark/PySpark, Airflow, Glue, Athena, and ETL tools such as Informatica or StreamSets
- Strong programming experience - Python or Java
- Deep understanding of Distributed Computing Concepts
- Programming experience, ideally in Python, Spark, Kafka or
- Java, and a willingness to learn new programming languages to meet goals and objectives
- Deep knowledge of data mining, machine learning, natural language processing, or information retrieval
EDUCATION
University of Missouri-Columbia /// Bachelor's in Computer Science
SKILLS
- Experience working in a Cloud environment (GCP/Azure/AWS) Practitioner of agile development methodologies
- Strong knowledge of SQL (MySQL, PostgreSQL) and preferably experience with NoSQL databases
- Proficient in minimum one programming language and scripting language
- Experience with various AWS services
Join The Break Community
- Hadoop ecosystem knowledge
- Experience with Ariflow, EKS, EMR, Redshift, OLAP
- Experience with Git and CircleCl
- Networking (DNS, Firewall)
What Is Unique About A Big Data Engineer Resume?
What makes a big data engineer resume unique compared to other jobs in the data science and management field? In short, the emphasis on expertise, experience, and achievements in handling big data projects is one thing among many.
If you’re looking to transition into a big data engineer position from another industry or are a new graduate looking to find your first job, highlighting your previous work experience, achievements, and relevant certifications is crucial for landing the job of your dreams.
What Should Be Included On A Big Data Engineer Resume?
Let’s look at what you should include on your big data engineer resume.
Resume Header and Contact Information
Your resume header should be clear and straightforward, starting with your full (legal) name and professional title. It can be in a slightly larger or bold font to differentiate it from the rest of the information. If you go by a different name than the header, list it that so potential employers know your preferred name.
In addition to your name and title, include your contact information such as your phone number, LinkedIn profile URL, and email address. When you link any professional social media profiles, go through and update all your information — especially about your most recent position. Treat it like an extension of your resume.
Education
In the education section, you should include everything about all the degrees you’ve earned. This helps demonstrate your knowledge and expertise in the field. Be sure to include the type of degree, name of the university, dates attended, major, and any other relevant information about coursework or achievements.
Work Experience
When crafting the work experience section of a big data engineer resume, you need to include details about at least three of your most recent positions. List them in reverse chronological order, with your current job or the most recent one coming first. Because big data engineers are a relatively new position compared to some in the tech industry, it’s okay to list non-relevant positions if you don’t have any related work experience. However, try to highlight as many transferable skills, projects, and responsibilities as possible.
For each entry, include the job title, company name, and job responsibilities. Some relevant job duties include working with large-scale data processing systems like machine learning models and data technologies.
Achievements, Memberships, and Projects
When creating your big data engineer resume, you should include a section detailing any achievements, memberships, or projects related to the job you’re applying for. You want to highlight your contributions to the big data community and show employers you’re confident in managing complex projects. Some examples of things you might put in this section are:
- Memberships to professional organizations like the Big Data Analytics Association, Apache Software Foundation, or any local networking groups
- Specific experience starting big data analytics programs at past employers
- Projects completed on a volunteer or freelance basis (outside of a full-time job)
- Work or community-related awards for big data projects
Professional Skills
Big data engineering requires a broad range of technical skills, from programming to data modeling and machine learning. Incorporating these into your resume helps an employer understand your abilities and how they can be applied to the job. It also helps them determine whether you meet the experience qualifications required for the position.
What Should Be Left Off A Big Data Engineer Resume?
While gathering the details of things to include on your big data engineer resume, you also need to know what to leave off.
First, avoid exaggerating or misrepresenting your skills or experience. Not only will this cause trouble when you are settled into the position and aren’t able to complete the assigned tasks, but it can also create a negative impression if discovered at any point during the hiring process.
Other things to leave off are personal information and irrelevant jobs, hobbies, or education.
Important Job Skills For Big Data Engineers
A hiring manager’s job is to weed through candidates, eliminating the ones that don’t meet the qualifications for the job and interviewing the ones who do. But in addition to having the appropriate background or years of experience, they will also look for relevant skills and abilities. Here are some to include in your resume’s “skills” section.
- Familiarity and experience with big data technologies like Spark, Elasticsearch, and Cassandra
- Proficiency in working with distributed systems, data pipelines, and real-time processing systems
- Expertise in data modeling, which includes designing and maintaining big data structures
- Working with cloud computing systems and data storage
- Fluency in the major programming languages like Python, R, or Java
- Soft skills like strong communication, ability to work well on a team, and proper time management
Wondering what other things to add to your resume? Our best skills for resume guide might help.
The Bottom Line
As a big data engineer, you’ll be responsible for handling large amounts of data for businesses of all sizes. Your resume should reflect that you can do this and demonstrate other relevant coursework or skills that make you attractive to potential employers.
While creating your own resume is an option, you can also hire a resume-writing service to write and format a resume. It’s also important to stay updated on what positions are available. Check ZipRecruiter for the latest big data engineer jobs!
