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big data engineer: Resume Samples & Writing Guide

Gary Hawkins 386 Pine Valley Avenue, Cottonwood, CA 93307
[email protected]
957-577-5640

Professional Summary

 A Big Data Engineer with a strong background in Information Technology. Experienced in leveraging big data technologies to create efficient and effective solutions for data-driven businesses. 

Employment history

Chief Big Data Engineer, IBM San Francisco, California
April 2014 – Present
  • Integrating data from multiple sources
  • Creating and maintaining technical documentation
  • Writing, testing and maintaining code for data processing
Associate Big Data Engineer, Intel Santa Clara, California
November 2012 – March 2014
  • Implement data governance policies and procedures
  • Monitoring and troubleshooting data systems
  • Collaborate with stakeholders to define requirements and design solutions
Junior Big Data Engineer, Accenture New York, New York
November 2011 – October 2012
  • Building and maintaining data warehouses and data lakes
  • Develop data models and data warehouses to facilitate data analysis
  • Develop and deploy big data solutions in a distributed computing environment

Education

Carnegie Mellon University, Pittsburgh, Pennsylvania
Master of Science in Computer Science, September, 2011
Carnegie Mellon University, Pittsburgh, Pennsylvania
Bachelor of Science in Computer Information Systems, September, 2007

Skills

Public Speaking
Financial Management
Supervisory
Listening
Data Visualization
Data Mining
Scala
Tableau.

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Quinn Upton 571 Valley View Avenue, Mount Vernon, VA 22309
[email protected]
733-531-4432

Employment history

Lead Big Data Engineer, IBM San Francisco, California
March 2023 – Present
  • Integrating data from multiple sources
  • Analyzing and optimizing data systems for performance
  • Writing, testing and maintaining code for data processing
Big Data Engineer, Apple Cupertino, California
October 2021 – March 2023
  • Collaborating with cross-functional teams to ensure data accuracy
  • Perform data analysis to identify trends and patterns in large datasets
  • Integrating data from multiple sources
Entry Level Big Data Engineer, IBM San Francisco, California
April 2021 – September 2021
  • Implementing data security and privacy protocols
  • Working with stakeholders to define and document data requirements
  • Monitoring and troubleshooting data systems

Education

Stanford University, Palo Alto, California
Doctor of Philosophy in Software Engineering, February, 2021
Stanford University, Palo Alto, California
Bachelor of Science in Computer Engineering, February, 2017

Skills

Leadership
Customer Service
Professionalism
Technical
Data Analysis
Data Security
Kubernetes.
MapReduce
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Albert Ingram 292 Willow St., Kokomo, MS 39643
[email protected]
724-511-1963

Professional Summary

 A Big Data Engineer with extensive experience and expertise in leveraging cutting-edge technologies to develop and maintain data systems and pipelines. Skilled in designing and implementing data-driven solutions that enable organizations to make informed decisions. 

Employment history

Lead Big Data Engineer, Amazon Seattle, Washington
April 2014 – Present
  • Staying up-to-date with emerging technologies and trends in big data
  • Develop data models and data warehouses to facilitate data analysis
  • Creating and maintaining technical documentation
Big Data Engineer, IBM San Francisco, California
April 2013 – March 2014
  • Developing and maintaining ETL processes
  • Develop and maintain ETL pipelines for data ingestion and transformation
  • Integrating data from multiple sources
Jr. Big Data Engineer, Amazon Seattle, Washington
October 2011 – March 2013
  • Develop and maintain data pipelines and data integration processes
  • Build and maintain data warehouses and data marts
  • Perform data analysis to identify trends and patterns in large datasets

Education

Carnegie Mellon University, Pittsburgh, Pennsylvania
Master of Science in Information Systems, August, 2011
Carnegie Mellon University, Pittsburgh, Pennsylvania
Bachelor of Science in Information Systems Management, August, 2007

Skills

Process Improvement
Conflict Resolution
Adaptability
Collaboration
NoSQL
NoSQL
Cloud Computing
Data Visualization
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Xaviera Parker 661 Pleasant Valley Drive, Montezuma, KS 67867
[email protected]
738-345-8197

Professional Summary

 A Big Data Engineer with a strong background in Information Technology, specializing in the design, implementation, and maintenance of complex data systems. Proven ability to develop and optimize data pipelines that enable efficient data storage, retrieval, and analysis. 

Employment history

Senior Big Data Engineer, HP Palo Alto, California
January 2010 – Present
  • Developing and maintaining ETL processes
  • Creating and maintaining technical documentation
  • Collaborate with stakeholders to define requirements and design solutions
Big Data Engineer, IBM San Francisco, California
July 2008 – December 2009
  • Implementing data pipelines and architectures for data processing
  • Design, develop, and implement big data architectures
  • Develop and maintain data visualization tools and dashboards
Entry Level Big Data Engineer, IBM San Francisco, California
July 2007 – June 2008
  • Writing, testing and maintaining code for data processing
  • Working with stakeholders to define and document data requirements
  • Collaborate with stakeholders to define requirements and design solutions

Education

University of Illinois at Urbana, Champaign, Illinois
Master of Science in Computer Engineering, May, 2007
University of Illinois at Urbana, Champaign, Illinois
Bachelor of Science in Cyber Security, May, 2003

Skills

Written Communication
Accounting
Reliability
Communication
ETL
Programming
Tableau.
Machine Learning
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Adam Miller 481 River Road, Red Lake Falls, MN 56750
[email protected]
764-291-5388

Professional Summary

 A Big Data Engineer with a passion for leveraging cutting-edge technology to solve complex data problems. Proven ability to develop and implement innovative solutions to improve data storage, retrieval, and analysis. 

Employment history

Lead Big Data Engineer, Amazon Seattle, Washington
January 2013 – Present
  • Developing and maintaining ETL processes
  • Build and maintain data warehouses and data marts
  • Writing, testing and maintaining code for data processing
Associate Big Data Engineer, Dell Technologies Round Rock, Texas
July 2012 – December 2012
  • Perform data analysis to identify trends and patterns in large datasets
  • Develop and implement data security and privacy measures
  • Develop data models and data warehouses to facilitate data analysis
Junior Big Data Engineer, Accenture New York, New York
July 2011 – June 2012
  • Working with stakeholders to define and document data requirements
  • Identifying and resolving data-related issues
  • Integrating data from multiple sources

Education

Stanford University, Palo Alto, California
Bachelor of Science in Computer Information Systems, May, 2011

Skills

Data Analysis
Teamwork
Attention to Detail
Networking
Spark
Machine Learning
Data Analysis
Bash
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big data engineer Job Descriptions; Explained

If you're applying for an big data engineer position, it's important to tailor your resume to the specific job requirements in order to differentiate yourself from other candidates. Including accurate and relevant information that directly aligns with the job description can greatly increase your chances of securing an interview with potential employers.

When crafting your resume, be sure to use action verbs and a clear, concise format to highlight your relevant skills and experience. Remember, the job description is your first opportunity to make an impression on recruiters, so pay close attention to the details and make sure you're presenting yourself in the best possible light.

11

big data engineer

  • Started my career with this startup were I was a part of a team that worked on providing big data related solutions for a fortune 500 retail US giant as well as creating our own automated big data product for Automated data ingestion and data processing.
  • Worked on technologies like: Hadoop, Hive, Java, Maven, Sqoop, Apache Flume, Apache Velocity, Apache Pig, Azkaban, Bash.
  • Worked with cloud based environments like Google Cloud Platform’s DataProc cluster as well as On-Prem clusters like HDP and Cloudera.
  • Working on DR sync with PROD environment. 
12

senior big data engineer

  • Responsible for the documentation, design, development, and      architecture of Big Data applications.
  • Process customer viewership payload for (Telus International)             Canada Origin Telecommunication (Client).
  • Develop application for ETL (Extraction, Transformation, and Loading) process.
  • Develop applications for processing structured payload at higher speed and real time.
  • Perform the testing with the given scenarios anddummy sample inputs by Business.
  • Maintain data security and privacy by implementing Kerberos Authentication and Authorization in application
13

big data engineer

  • Responsible for handling almost 20 TB of data on daily basis, from 40 different source like DPI, CDR/VDR related data, Signalling,Browsing, Tealeaf and other applications related data in Hadoop ecosystem.
  • Responsible for enriching, transforming and loading the structured and unstructured data into hive and HBase tables using Pyspark, Scala and shell scripting.
  • POC for the project “City in the Motion” using Docker, Pyspark and Shell Scripting to generate realtime subscriber details using their location data.
  • Foot Fall analysis using subscriber location,Nationality and Age Group for different Malls, places and there frequent visitor based on different client requirements.
  • Worked on Complex sql queries required for Use cases based on the clients requirement.
  • Data Governing and Data Quality check before and after deployments based on use case and for tuning the data from different source files.
  • Perl scripting and shell scripting to automate most of the daily task, related to performance, merging chunk of files on daily basis, auditing files and to automate Spark jobs.
14

big data engineer

  • Developed and executed plans to monitor standard process adherence.
  • Assemble large, complex data sets that meet functional / non-functional business requirements e.g. Watsons, Robinsons, Waltermart, Mercury Drug, etc. (DATA DOWNLOAD, CLEANSING, TAGGING, BINDING, HARMONIZATION, AND ANALYSIS)
  • Oversees data planning, field work; product scanning store by store, sales and inventory; prepares reports, and communicates findings and recommendations to line and senior management. 
  • Mostly worked on IBM BigSQL, Hive, HBase, MongoDB, Docker, Python, Pyspark, Scala, Spark SQL, Shell/Perl Scripting.
15

big data engineer

  • Developed module for integrating mongodb for statistics module
  • Developed module for the data acquisition from analyser
  • Worked with S3 module for integrating content to S3 using python
  • Working on the upgrade of GLens Product 
1 2 3 4

big data engineer Job Skills

For an big data engineer position, your job skills are a key factor in demonstrating your value to the company and showing recruiters that you're the ight fit for the role. It's important to be specific when highlighting your skills and ensure that they are directly aligned with the job requirements, as this can greatly improve your chances of being hired. By showcasing your relevant skills and experience, you can make a compelling case for why you're the best candidate for the job.

How to include technical skills in your resume:

Technical skills are a set of specialized abilities and knowledge required to perform a particular job effectively. Some examples of technical skills are data analysis, project management, software proficiency, and programming languages, to name a few.

Add the technical skills that will get hired in your career field with our simple-to-use resume builder. Select your desired resume template, once you reach the skills section of the builder, manually write in the skill or simply click on "Add more skills". This will automatically generate the best skills for your career field, choose your skill level, and hit "Save & Next."

  • Data Mining
  • Data Modeling
  • Machine Learning
  • Data Warehousing
  • ETL
  • Hadoop
  • SQL
  • Programming
  • AWS
  • Cloud Computing
  • NoSQL
  • Data Visualization
  • Data Analysis
  • Linux
  • Java
  • Scala
  • Python
  • Bash
  • Apache Spark
  • MapReduce
  • Kubernetes.
  • Data Mining
  • Data Warehousing
  • Hadoop
  • Spark
  • Machine Learning
  • Data Visualization
  • ETL
  • Python
  • Java
  • Scala
  • SQL
  • NoSQL
  • Cloud Computing
  • Linux
  • Bash
  • AWS
  • Azure
  • MapReduce
  • Natural Language Processing
  • Data Security
  • Tableau.

How to include soft skills in your resume:

Soft skills are non-technical skills that relate to how you work and that can be used in any job. Including soft skills such as time management, creative thinking, teamwork, and conflict resolution demonstrate your problem-solving abilities and show that you navigate challenges and changes in the workplace efficiently.

Add competitive soft skills to make your resume stand-out to recruiters! Simply select your preferred resume template in the skills section, enter the skills manually or use the "Add more skills" option. Our resume builder will generate the most relevant soft skills for your career path. Choose your proficiency level for each skill, and then click "Save & Next" to proceed to the next section.

  • Communication
  • Interpersonal
  • Leadership
  • Time Management
  • Problem Solving
  • Decision Making
  • Critical Thinking
  • Creativity
  • Adaptability
  • Teamwork
  • Organization
  • Planning
  • Public Speaking
  • Negotiation
  • Conflict Resolution
  • Research
  • Analytical
  • Attention to Detail
  • Self-Motivation
  • Stress Management
  • Collaboration
  • Coaching
  • Mentoring
  • Listening
  • Networking
  • Strategic Thinking
  • Negotiation
  • Emotional Intelligence
  • Adaptability
  • Flexibility
  • Reliability
  • Professionalism
  • Computer Literacy
  • Technical
  • Data Analysis
  • Project Management
  • Customer Service
  • Presentation
  • Written Communication
  • Social Media
  • Troubleshooting
  • Quality Assurance
  • Collaboration
  • Supervisory
  • Risk Management
  • Database Management
  • Training
  • Innovation
  • Documentation
  • Accounting
  • Financial Management
  • Visualization
  • Reporting
  • Business Acumen
  • Process Improvement
  • Documentation
  • Relationship Management.

How to Improve Your big data engineer Resume

Navigating resume pitfalls can mean the difference between landing an interview or not. Missing job descriptions or unexplained work history gaps can cause recruiters to hesitate. Let's not even talk about the impact of bad grammar, and forgetting your contact info could leave your potential employer hanging. Aim to be comprehensive, concise, and accurate.

Jonathan Wood 294 Parkview Drive, Wiggins, MS 39577

Employment history

Senior Big Data Engineer, Dell Technologies Round Rock, Texas
January 2009 – May 2022
  • Integrating data from multiple sources
  • Working with stakeholders to define and document data requirements
  • Analyzing and optimizing data systems for performance
Associate Big Data Engineer, Microsoft Redmond, Washington
July 2008 – December 2008
  • Research and evaluate emerging big data technologies and tools
  • Monitoring and troubleshooting data systems
  • Develop and maintain ETL pipelines for data ingestion and transformation
Jr. Big Data Engineer, Apple Cupertino, California
December 2007 – June 2008
  • Designing and developing big data solutions
  • Develop data models and data warehouses to facilitate data analysis
  • Build and maintain data warehouses and data marts

Education

University of Illinois at Urbana, Champaign, Illinois
Master of Science in Computer Engineering, November, 2007
University of Illinois at Urbana, Champaign, Illinois
Bachelor of Science in Computer Information Systems, November, 2003

Skills

Reliability
Research
Leadership
Presentation
MapReduce
ETL
SQL
Apache Spark

Provide your Contact Information and Address Year Gaps

Always explain any gaps in your work history to your advantage.

Key Insights
  • Employers want to know what you've accomplished, so make sure to explain any gaps using a professional summary.
  • Adding extra details and context to explain why you have a gap in your work history shows employers you are a good fit for the position.

How to Optimize Your big data engineer Resume

Keep an eye out for these resume traps. Neglecting to detail your job roles or explain gaps in your career can lead to unnecessary doubts. Grammar blunders can reflect negatively on you, and without contact information, how can employers reach you? Be meticulous and complete.

Cal Ellis 311 Holly Avenue, Molalla, OR 97038
[email protected]
736-755-8746

Employment history

Senior Big Data Engineer, Oracle Redwood City, California
November 2016 – Present
  • Bulding and maintainin data warehouses and data lakes
  • Developing data modles and data warehouss to faciliate data analysis
  • Designing and developing big data solutons
Big Data Engineer, IBM San Francisco, California
June 2015 – October 2016
  • Implement data governance policies and proceduers
  • Develop and maintin ETL pipelines for data ingetion and transformation
  • Develop and maintin data visualisation tools and dashboards.
Junior Big Data Engineer, IBM San Francisco, California
December 2013 – May 2015
  • "I went to the store and bought some food."
  • "I went too the store and bough some food."

Education

Georgia Institute of Technology, Atlanta, Georgia
Certified Cloud Security Professional (CCSP), November, 2013

Skills

Listening
Networking
Presentation
Analytical
Natural Language Processing
Scala
Linux
ETL

Include Job Descriptions and Avoid Bad Grammar

Avoid sending a wrong first impression by proofreading your resume.

Key Insights
  • Spelling and typos are the most common mistakes recruiters see in resumes and by simply avoiding them you can move ahead on the hiring process.
  • Before submitting your resume, double check to avoid typos.

big data engineer Cover Letter Example

A cover letter can be a valuable addition to your job application when applying for an big data engineer position. Cover letters provide a concise summary of your qualifications, skills, and experience, also it also gives you an opportunity to explain why you're the best fit for the job. Crafting a cover letter that showcases your relevant experience and enthusiasm for the Accounts Payable role can significantly improve your chances of securing an interview.



Gary
Hawkins [email protected]
957-577-5640
386 Pine Valley Avenue, Cottonwood, CA
93307

Chief Big Data Engineer
Microsoft
Redmond, Washington

To the Recruitment Team at Microsoft


As a Big Data Engineer with a proven track record of success in Information Technology (IT), I am excited to apply for the Chief Big Data Engineer position at Microsoft. I believe that my skills and expertise would make a valuable contribution to your team.


Throughout my life, I have been passionate about Database Management and have pursued opportunities to make a difference in this field. My experience in various areas, not just in Information Technology (IT), has given me the opportunity to develop my skills in Public Speaking and Financial Management, which I am excited to apply to the role at Microsoft. I am eager to work with a team that shares my values and to help your organization achieve its well determined goals.


Thank you for considering my application for the Chief Big Data Engineer position. With my skills and the amazing team at this organization, I am assured that I can contribute to your organization's success and make a meaningful impact. Looking forward to a future where we can work together.


Cordially,
Gary Hawkins
957-577-5640
[email protected]

Gary Hawkins






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