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AWS Data Engineer Must-Have Resume Skills and Keywords

Are you interested in improving your job outlook and increasing your salary? How can you demonstrate that you are the most qualified candidate for an AWS Data Engineer position? Of course continuing to gain experience working as an AWS Data Engineer may be your best qualification, but there are other ways you can also develop your skills, like continuing education or volunteer opportunities. More immediately, however, you can be ready for your next opportunity or promotion by educating yourself about the duties, responsibilities, and required skills of an AWS Data Engineer and making sure your resume reflects your experience properly.

We designed the ZipRecruiter Career Keyword Mapper to help you solve this problem and hopefully improve your resume. Using machine learning tools paired with industry research, our Marketplace Research Team helped analyze millions of job postings and resumes to identify the most important keywords related to AWS Data Engineer jobs. Our goal is to help you discover opportunities to improve your resume or to help you understand what skills and qualifications you need to be an AWS Data Engineer or to advance your career into beyond this role.

Top Skills Mentioned in Job Descriptions

Top
10
Job Skills
Employers require a broad range of skills and qualifications in their descriptions of AWS Data Engineer positions. The top three keywords make up 46.58% of the total set of top terms. Look to the Resume Checklist below to see how Amazon Web Services, Python, and SQL shares stack up against the share from resumes. Amazon Redshift, Spark and ETL represent an additionally healthy share of the employer AWS Data Engineer job postings with their combined total of 26.41%. At 27%, Data Warehousing, Big Data, Technical, and Collaboration appear far less frequently, but are still a significant portion of the 10 top AWS Data Engineer skills and requirements according to employers.

Top Skills Mentioned in Resumes

Top
10
Job Skills
Job seeker resumes showcase a broad range of skills and qualifications in their descriptions of AWS Data Engineer positions. The top three keywords represent 32.09% of the total set of top resume listed keywords. Look to the Resume Checklist below to investigate how Amazon Web Services, Database, and Amazon Redshift match up to employer job descriptions. Data Warehousing, Big Data, and Analysis represent a very decent share of skills found on resumes for AWS Data Engineer with 30.85% of the total. At 37.06%, ETL, EC2, Business Intelligence, and Data Analytics appear far less frequently, but are still a significant portion of the 10 top AWS Data Engineer skills and qualifications found on resumes.

Most Important Skills Required to Be an Aws Data Engineer as Listed by Employers and Employees

Here is a simple table of the top 10 skills and qualifications as listed by employers in AWS Data Engineer job postings since January of 2018, followed by the top 10 skills and qualifications most commonly listed by people who held the title of AWS Data Engineer on their resumes.
Top AWS Data Engineer Skills
Skills Required by Employers Share
Amazon Web Services 21.24%
Python 14.36%
SQL 10.98%
Amazon Redshift 9.31%
Spark 8.76%
ETL 8.34%
Data Warehousing 7.19%
Big Data 6.95%
Technical 6.87%
Collaboration 5.99%
Skills Listed by Employees Share
Amazon Web Services 10.92%
Database 10.61%
Amazon Redshift 10.56%
Data Warehousing 10.35%
Big Data 10.25%
Analysis 10.25%
ETL 9.78%
EC2 9.11%
Business Intelligence 9.11%
Data Analytics 9.06%

Aws Data Engineer Resume Checklist

Our Resume Keyword Checklist is based upon an analysis of the most commonly found terms within both job descriptions and resumes for AWS Data Engineer positions. Our algorithm helps isolate phrases and patterns to identify the most frequently recurring and reused keywords from each data source, while correcting for uncommon and outlier results. Various heuristic methodologies are then applied to ultimately create two top 20 lists of the most important and significant skills, certificates and requirements found within AWS Data Engineer job postings and resumes. We then merge the two lists together and use a combination of statistics and rules-based scenarios to create a list that is audited by the Marketplace Research team, and finally turned into the checklist you see below. Our hope is that knowing this information can help you make your best impression with your next potential employer.
Uncommon Keywords on Aws Data Engineer Resumes
Job Descriptions
Resumes
25%
50%
75%
100%
Amazon Web Services
Python
Computer Science
Auto Delivery
SQL
Collaboration
Spark
DevOps
Technical
Amazon Redshift
ETL
Employer job listings tend to list Amazon Web Services, Python, Computer Science, Auto Delivery, SQL, Collaboration, Spark, DevOps, Technical, Amazon Redshift or ETL as requirements in AWS Data Engineer job descriptions; however, candidates mention them far less frequently on their resumes. If you possess any or all of these experiences, including these keywords prominently on your resume when applying for an AWS Data Engineer position may help you stand out more to hiring managers.
Common Keywords on Aws Data Engineer Resumes
Job Descriptions
Resumes
25%
50%
75%
100%
Java
Data Warehousing
Big Data
Database
Kafka
Data Modeling
EC2
Hadoop
Data Analytics
Scripting
Hive
Data Processing
Business Intelligence
Analysis
Both employer job listings and resumes from people who’ve held the position of AWS Data Engineer tend to always include skills and requirements found in this list. Whether you’ve only got Java, Data Warehousing, Big Data, Database, Kafka, Data Modeling, EC2, Hadoop, Data Analytics, Scripting, Hive, Data Processing, Business Intelligence or Analysis in your background and experience, make sure to highlight the term prominently on your resume. As a candidate you’ll be competing with many others who are bound to have as many as you (or more!) of these common resume keywords highlighted in their application for a job as an AWS Data Engineer.
Uncommon Keywords on Aws Data Engineer Job Descriptions
Job Descriptions
Resumes
25%
50%
75%
100%
Azure
Employer job listings infrequently list Azure as important skills or qualifications in AWS Data Engineer job descriptions. Nevertheless, candidates mention them much more commonly in their resumes. If you possess this experience, including this keyword prominently on your resume when applying for an AWS Data Engineer position may go unnoticed or even discounted by hiring managers.

FAQs about Aws Data Engineer Skills and Resume Keywords

What are the most important AWS Data Engineer job skills to have on my resume?

The most common important skills required by employers are Java, Data Warehousing, Big Data, Database, Kafka, Data Modeling and EC2. These skills and requirements are just as likely to be mentioned by employers as well as on resumes of people that held a position as an AWS Data Engineer, suggesting that having these keywords on a resume are important for success as an AWS Data Engineer. Additionally, employer AWS Data Engineer job descriptions list Amazon Web Services as a desirable experience, even though Amazon Web Services appears 5.09 times less on resumes, suggesting that it's worth considering including this skill if you possess the experience.

What are the least important AWS Data Engineer job skills to have on my resume?

Although you'd probably love to load up your resume with every possible keyword you can, employers tend to look for the things they specify in the job description. Our analysis suggests that highlighting too prominently a term like Azure which appears 0.43 times less often than in job descriptions for an AWS Data Engineer position implies that highlighting this on your resume may not be a great way to get noticed.

How do I make sure my resume has all of the right keywords for an AWS Data Engineer position?

Unless your resume has a good density of the following skills and experience listed, you may not be considered for the role of AWS Data Engineer. Make sure to include a strong showing for the following keywords on your resume:
  • Java
  • Data Warehousing
  • Big Data
  • Database
  • Kafka
  • Data Modeling
  • EC2
  • Hadoop
  • Data Analytics
  • Scripting
  • Hive
  • Data Processing
  • Business Intelligence
  • Analysis
Additionally employers frequently list the following as desirable qualities in an AWS Data Engineer candidate, but they are far less common on most resumes:
  • Amazon Web Services
  • Python
  • Computer Science
  • Auto Delivery
  • SQL
  • Collaboration
  • Spark
  • DevOps
  • Technical
  • Amazon Redshift
  • ETL
Finally people who held the position of an AWS Data Engineer and list it on their resume are adding these terms that are less likely to be noticed by employers. You may want to consider downplaying these terms on your AWS Data Engineer application:
  • Azure

Before applying for an Aws Data Engineer job

At ZipRecruiter, we understand better than anyone the importance of using the right keywords to describe your experience — it’s crucial to attracting the right employers! We built our business on the ability to effectively match job seekers with employers using AI-technology that understands your resume and how likely you are to be noticed by a potential future employer. Having a ZipRecruiter profile that showcases your most relevant skills and abilities can help you get recruited into a new role as an AWS Data Engineer. Get started on your journey with a new ZipRecruiter Profile today!