Amazon Data Engineer Resume Examples

This article provides examples of effective Amazon Data Engineer resumes for job seekers to use as a reference when creating their own.

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Brenna Goyette
Certified Professional Resume Writer, Career Expert

Published 8 min read

This article will discuss how to write a resume for Amazon as a Data Engineer. It will focus on the skills and experience necessary to be successful in this role, such as knowledge of database technologies, data modeling and analysis, programming languages, and cloud computing platforms. Additionally, it will cover best practices for highlighting your qualifications in a way that stands out from other applicants. Finally, tips for tailoring your resume to the specific requirements of Amazon's hiring process will also be discussed.

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Amazon Data Engineer Resume Example

Irem Recca, Data Engineer

(766) 969-3325

Madison, WI

Professional Summary

I am a Data Engineer with over three years of experience developing and managing data-driven solutions to improve business processes and operations. My skill set includes working with the entire data lifecycle from extraction, data warehousing, ETL, and analytics. I have experience with Python, SQL, and Big Data technologies, as well as data visualization tools such as Tableau and PowerBI. I also have experience with cloud-based data solutions such as Amazon Web Services (AWS). I have a proven track record of developing data solutions that have been utilized to successfully improve business operations and increase operational efficiency.

Work Experience

Data Engineer II at Epic Systems Corporation, WI

Dec 2022 - Present

  • Developed a data warehouse that reduced the time to process analytics from 2 days to 1 hour, resulting in an 80% increase in efficiency.
  • Automated ETL pipeline processes for 10+ databases and enabled real-time reporting with 99% accuracy rate.
  • Developed automated scripts utilizing Python programming language for standardizing datasets across multiple departments of Epic Systems Corporation within 4 weeks.
  • Implemented Apache Spark framework on AWS cloud platform which allowed us to reduce the cost by 40%.

Data Engineer I at Rockwell Automation Inc., WI

Sep 2020 - Oct 2022

  • Developed a data warehouse for Rockwell Automation Inc. that automated the process of generating reports on production output and cost analysis, resulting in an increase in efficiency by 35%.
  • Implemented streaming analytics solutions to measure key performance indicators (KPIs) such as customer sentiment, number of orders placed per hour and average order value which improved decision making capabilities company-wide.
  • Enhanced ETL processes with automation scripts reducing manual workloads from 8 hours to just 1 hour each week while increasing accuracy levels from 95% up to 99%.
  • Designed NoSQL database architecture capable of handling nearly 75 million records whilst maintaining subsecond query response times at peak loads.


Bachelor of Science in Data Engineering at University of Wisconsin-Madison

Sep 2016 - May 2020

Relevant Coursework: Algorithms and Data Structures, Database Systems, Software Engineering, Data Mining, Machine Learning, Networking.


  • SQL
  • Python
  • Data Warehousing
  • ETL/ELT Pipelines
  • Big Data Technologies (e.g., Hadoop, Spark)
  • Cloud Computing (e.g., AWS, GCP)
  • Data Visualization


  • Cloudera Certified Professional: Data Engineer
  • MongoDB Certified DBA Associate

Tips for Writing a Better Amazon Data Engineer Resume

1. Highlight Your Technical Skills: As an Amazon Data Engineer, you will need to have a strong technical background in data engineering concepts such as writing complex SQL queries, designing and building data models, and using ETL tools such as AWS Glue. Make sure to highlight your knowledge and experience with these technologies on your resume.

2. Describe Your Projects: Employers want to know what specific projects you have worked on in the past as an Amazon Data Engineer. Include a brief description of each project along with any successes or challenges that you encountered so that employers can get a better understanding of your skills and abilities.

3. Showcase Your Achievements: Don’t forget to list any awards or certifications that you have earned while working as an Amazon Data Engineer. This will demonstrate to potential employers that you are passionate about the field and have taken the time to learn new skills and stay up-to-date on industry trends.

4. Use Keywords: Many employers use Applicant Tracking Systems (ATS) when reviewing resumes for potential candidates. To ensure that your resume makes it through these systems, make sure to include relevant keywords in your work experience section such as “Amazon Web Services”, “AWS Glue”, “SQL”, etc.

5. Keep It Simple: While it is important to showcase your technical skills on your resume, make sure not to go overboard with the details or jargon – keep it simple so that potential employers can easily understand what you bring to the table!

Related: Data Engineer Resume Examples

Key Skills Hiring Managers Look for on Amazon Data Engineer Resumes

Incorporating keywords from the job description when applying for a Data Engineer opportunity at Amazon is essential, as it increases the chances of your application being seen by recruiters. This is because Amazon uses an Applicant Tracking System (ATS) to filter out applicants based on their qualifications and experience. By including relevant keywords in your resume or cover letter, you can ensure that your application will be considered for the position. Additionally, if you're mentioning any related skills or experiences in your application, make sure to use language that is similar to what is used in the job description. This will help the ATS recognize that you have the necessary qualifications and experience required for the role.

The following is a list of important skills and terms to be aware of when applying for a data engineering position at Amazon:

Key Skills and Proficiencies
ETLData Warehousing
Big DataApache Hadoop
Apache SparkNoSQL
Data ModelingData Analysis
Cloud ComputingData Visualization
Business IntelligenceMachine Learning
Statistical AnalysisData Mining
Data CleaningMongoDB
Apache KafkaElasticsearch

Related: Data Engineer Skills: Definition and Examples

Common Action Verbs for Amazon Data Engineer Resumes

When writing an Amazon Data Engineer resume, it can be difficult to come up with different action verbs to use. It is important to use varied verbs in order to create a strong and effective resume that stands out from the competition. By using a variety of action verbs, such as "designed," "analyzed," "developed," and "tested," you can make your resume more descriptive and impactful. Additionally, using these verbs will help demonstrate your expertise in the field of data engineering.

Gain a competitive edge with this list of powerful action verbs to strengthen your resume and increase your chances of landing your next interview:

Action Verbs
DocumentedBacked Up

Related: What does a Data Engineer do?

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