Big Data Resume - Sample, Template, & 24 Skills to Include

Text Format

CAREER SUMMARY

Technically astute and detail-oriented professional with 8+ years of experience gathering, analyzing, and interpreting big data to identify new business opportunities and improve overall processes. Adept at visualizing data and information by preparing reports, graphs, and charts. Solid track record delivering advanced data solutions to increase stakeholder engagement. Expert at collaborating with cross-functional teams to enhance organizational efficiency.

PROFESSIONAL EXPERIENCE

Big Data Analyst
Matlen Silver, New York, NY
March 2019 – Present

Deploy advanced frameworks to implement data validation while complying with product specifications
Streamline data management and processing systems across various organizations, increasing efficiency by 18%
Collaborate with the data engineering team to tune newly developed data ingestion pipelines
Create reports and dashboards as per evolving business requirements
Engage in deep-dive data analysis to identify and report major risks

Data Analyst
Discovery Inc., New York, NY
December 2016 – February 2019

Audited 150+ individual records by creating complex SQL reports
Modified standard operational procedures, driving major improvements in 30+ functional areas
Utilized big datasets to analyze and extract deep learning to guide media strategy and optimization
Transformed high-value analysis projects into automated data products
Liaised with senior analysts to create and maintain self-serve dashboards

Assistant Data Analyst
Kingston Digital, New York, NY
October 2014 – November 2016

Aggregated data from various sources to construct streamlined data pipelines and integrate data from multiple payment processing systems
Identified key business levers and performed operations analyses to develop data-driven solutions for 3 international client brands
Partnered with multifunctional teams to develop data privacy and protection processes

EDUCATION

Bachelor of Science in Software Engineering
Miami University, Oxford, OH
2014 – 2016

Associate Degree in Computer Science
Kent State University, Kent, OH
2012 – 2014

RELEVANT SKILLS

Big data analysis
Technical solutions and support
Leadership
Python
Java
C++
Scala
SQL-based technologies
Database architecture

Skills for your big data resume

Learning how to put together a resume for the specific job(s) you want will help you land more interviews.

Big data engineers are responsible for integrating, managing, and analyzing large data sets, as well as using them to help organizations grow and make decisions. They use technologies such as Hadoop, Spark and NoSQL databases to make sense of data sets that are too large to handle using traditional methods.

Types of data that big engineers may handle include:

unstructured data (image, video, audio)
semi-structured data (emails, XML files)
structured data (Excel, SQL)

With an estimated 94 zettabytes of data being produced and consumed daily by the beginning of 2023, big data engineers and developers have an essential role to play in almost every industry. The US Bureau of Labor Statistics predicts that employment for data science jobs will rise by 36% between 2021 and 2031, which is much faster than the national average.

A bachelor’s degree in computer science, engineering, or mathematics is a common requirement for big data jobs, and employers look for highly skilled candidates.

As a result, you’ll need to make sure that your big data resume highlights the right hard skills (technical abilities that you learn) and soft skills (personality-related attributes) to entice prospective employers.

Here’s a list of hard skills that are highly desirable among big data employers right now: