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As an AWS data engineer, you will handle the engineering, transfer, and storage of data using AWS cloud services. Recruiters will expect an educational background in I.T. or a related field and will expect you to be an expert in relevant AWS software.
Beyond listing the AWS tools you are experienced with, show recruiters the extent of your skill set by including your competency using each tool. This applicant uses competency ratings like ‘Advanced’ and ‘Experienced’.
Impress recruiters by including metrics that illustrate your workload capabilities and how much data you have handled in previous positions. If you had quantifiable success as a result of your data engineering, include those numbers as well.
As a hiring manager who has recruited for AWS Data Engineer roles at companies like Amazon, Google, and Microsoft, I've seen countless resumes over the years. In this article, I'll share some of the most effective tips I've learned for crafting a strong AWS Data Engineer resume that will catch the attention of recruiters and hiring managers. These tips are based on real-world examples from successful candidates who have landed jobs at top tech companies.
Recruiters look for candidates with proven expertise in AWS technologies. Be sure to:
In contrast, here's what to avoid:
The summary section of your resume is an optional element that provides a brief overview of your professional background, skills, and career goals. While a well-crafted summary can help you stand out to potential employers, it's important to keep in mind that your resume itself should already be a concise summary of your qualifications. Avoid using an objective statement, as these are outdated and often fail to provide value to the reader.
When deciding whether to include a summary on your AWS Data Engineer resume, consider your level of experience and career trajectory. If you have a diverse background or are making a career change, a summary can help provide context and highlight transferable skills. However, if your experience aligns closely with the AWS Data Engineer role, you may choose to omit the summary and let your work history speak for itself.
Your work experience section is the heart of your resume. It's where you prove to potential employers that you have the skills and experience to excel as an AWS data engineer. In this section, we'll break down key steps to help you craft a compelling work experience section that will catch the attention of hiring managers.
When describing your work experience, use powerful action verbs that showcase your AWS data engineering skills. Weak, generic verbs like "worked on" or "helped with" won't make a strong impression.
Instead of writing something like this:
Write with strong verbs more directly relevant to AWS data engineering:
When writing your education section, you want to showcase your relevant degrees and coursework that will catch the hiring manager's attention. Follow these tips to make your education section stand out:
The skills section of your resume is critical to highlight your technical proficiency as an AWS Data Engineer. It's an opportunity to showcase your expertise in key tools, technologies, and methodologies that are essential for the role. Hiring managers and Applicant Tracking Systems (ATS) will scan this section to determine if you have the right skills for the job.
Follow these tips to create a compelling skills section that will help you stand out from other candidates and increase your chances of landing an interview.
Here are examples of popular skills from AWS Data Engineer job descriptions that you can include on your resume.
This word cloud highlights the important keywords that appear on AWS Data Engineer job descriptions and resumes. The bigger the word, the more frequently it appears on job postings, and the more likely you should include it in your resume.
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