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Amazon Big Data Engineer Resume Examples

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Brenna Goyette
Certified Professional Resume Writer, Career Expert

Updated 8 min read

This article will provide a comprehensive guide on how to write a resume for Amazon as a Big Data Engineer. It will cover topics such as the necessary skills and qualifications, experience and education needed for the position, as well as tips on how to stand out from other applicants. Additionally, it will give advice on how to showcase your technical expertise in big data engineering and demonstrate that you are the right fit for the role.

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Amazon Big Data Engineer Resume Example

Lillie Stufflebean, Big Data Engineer


(229) 621-7056

Fargo, ND

Professional Summary

I am a Big Data Engineer with over three years of experience in configuring, deploying, and managing big data solutions. I have extensive knowledge of big data technologies such as Hadoop, Spark, and Kafka, and am highly skilled in writing and optimizing complex SQL queries. I am also familiar with a variety of data visualization tools and have experience in building data pipelines for ETL operations. I have a proven track record of successfully designing and deploying big data solutions and have been commended for my ability to quickly understand customer requirements and develop solutions that meet their needs. I am an excellent communicator, able to effectively collaborate with project teams and stakeholders.

Work Experience

Lead Big Data Engineer at Microsoft, ND

Oct 2022 - Present

  • Developed a big data platform using Azure Data Lake that processed over 10 petabytes of customer information, resulting in an increase in accuracy and efficiency by 30%.
  • Created automated ETL pipelines to facilitate the ingestion of unstructured datasets from various sources into Hadoop clusters with 95% success rate.
  • Led a team of 5 engineers responsible for designing distributed computing applications on Apache Spark which improved performance metrics by 40%.
  • Developed real-time streaming analytics solutions utilizing Microsoft Stream Analytics Services to process millions records per day, leading to significant cost savings for the company.

Senior Big Data Engineer at Amazon Web Services, ND

Jul 2020 - Sep 2022

  • Developed an end-to-end big data pipeline for Amazon Web Services, ND that improved performance by 30% and decreased latency time from 6 hours to 3 minutes.
  • Developed a Lambda architecture on AWS EMR cluster of over 100 nodes with HiveQL & SparkSQL as the query languages which enabled real-time analytics processing at scale.
  • Implemented advanced machine learning algorithms such as Random Forest and Neural Network Models leveraging Apache Mahout libraries resulting in 20x increase in accuracy rate while reducing cost by 50%.
  • Designed and developed automated ETL jobs using Sqoop, Kafka Streams API’s running on EC2 instances enabling easy transfer of large datasets between different storage systems within 4 hrs compared to 8 hrs before implementation.


Bachelor of Science in Big Data Engineering at North Dakota State University, ND

Aug 2016 - May 2020

Relevant Coursework: Advanced Data Structures and Algorithms, Database Systems and Applications, Big Data Storage and Analysis, Machine Learning, and Data Mining.


  • Hadoop
  • Apache Spark
  • Data Warehousing
  • ETL/ELT Pipelines
  • Machine Learning
  • NoSQL Databases
  • Cloud Computing


  • Cloudera Certified Professional: Data Engineer
  • Hortonworks HDP Certified Apache Hadoop Developer

Tips for Writing a Better Amazon Big Data Engineer Resume

1. Highlight Your Big Data Skills: Make sure to include the specific big data tools and technologies that you’re proficient in, such as Hadoop, MapReduce, MongoDB, and Apache Spark. Showcase your technical skills and any relevant certifications you may have.

2. Quantify Your Achievements: It’s important to quantify your achievements on a resume when possible. For example, if you’ve implemented a big data solution that increased customer satisfaction or improved efficiency by 10%, include this information on your resume.

3. Demonstrate Your Problem-Solving Skills: Amazon values problem solvers who can quickly analyze a situation and come up with creative solutions. Include examples of projects or tasks that you solved in innovative ways to demonstrate your problem-solving skills.

4. Focus on Relevant Experience: Make sure to focus on experience that is most relevant to the job you’re applying for. Include information about past projects or tasks that are related to the role of Big Data Engineer at Amazon so the hiring manager can easily see how you would fit into their team.

5. Tailor Your Resume for Each Job: Don’t just use one generic resume for all applications; tailor each resume to the job description for which you’re applying. This will help ensure that the content of your resume is more closely aligned with what Amazon is looking for in a Big Data Engineer candidate.

Related: Data Engineer Resume Examples

Key Skills Hiring Managers Look for on Amazon Big Data Engineer Resumes

Using keywords from the job description when applying for a Big Data Engineer opportunity at Amazon is essential. This is because Amazon uses Applicant Tracking Systems (ATS) to filter through and rank applications. ATS algorithms are programmed to scan resumes for keywords relevant to the position, so incorporating relevant keywords from the job description into your application can help you stand out from other applicants and increase your chances of being shortlisted for an interview.

When applying for a Big Data Engineer position at Amazon, you may come across common skills and key terms such as those listed below.

Key Skills and Proficiencies
HBaseData Warehousing
ETLMachine Learning
Data MiningData Visualization
Java/Python/Scala ProgrammingCloud Computing

Related: Data Engineer Skills: Definition and Examples

Common Action Verbs for Amazon Big Data Engineer Resumes

Finding the right action verbs to use on a resume can be a challenging task, especially when trying to create an Amazon Big Data Engineer Resume. It is important to use varied verbs in order to make your resume stand out and show that you have the necessary skills and knowledge for the role. Using different action verbs will help to showcase your abilities in a creative way and demonstrate that you are well-versed in Big Data engineering. Additionally, it will give recruiters a better understanding of your specific skillset and experience.

To give you an advantage over other job applicants, we've put together a list of powerful action verbs to use in your resume and increase your chances of landing the next interview:

Action Verbs

Related: What does a Data Engineer do?

Editorial staff

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Brenna Goyette

Expert Verified

Brenna is a certified professional resume writer, career expert, and the content manager of the ResumeCat team. She has a background in corporate recruiting and human resources and has been writing resumes for over 10 years. Brenna has experience in recruiting for tech, finance, and marketing roles and has a passion for helping people find their dream jobs. She creates expert resources to help job seekers write the best resumes and cover letters, land the job, and succeed in the workplace.

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