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big data: Resume Samples & Writing Guide

Jeff Parker 39 Sycamore Avenue, Olney, MD 20833
jeffparker@protonmail.com
695-125-6188

Employment history

Entry Level Big Data, Microsoft Redmond, Washington
January 2022 – November 2022
  • Develop data pipelines to collect, store, and analyze Big Data
  • Write and maintain scripts to automate data processing
  • Developing and deploying data pipelines

Education

Cornell University, Ithaca, New York
Certified Information Systems Auditor (CISA), December, 2021

Skills

Technical
Flexibility
Mentoring
Teamwork
Data Visualization
ETL
Data Mining
AWS

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Albert Griffin 342 Highland Avenue, Menomonee Falls, WI 53052
griffinalbert@mail.com
726-789-7861

Employment history

Lead Big Data, Microsoft Redmond, Washington
April 2022 – Present
  • Optimizing data storage and retrieval processes
  • Creating data models and data visualizations
  • Monitor system performance and troubleshoot issues
Big Data, Oracle Redwood City, California
April 2021 – March 2022
  • Creating data models and data visualizations
  • Developing and deploying data pipelines
  • Developing data mining algorithms
Jr. Big Data, Microsoft Redmond, Washington
October 2020 – March 2021
  • Develop and maintain Big Data applications
  • Developing and deploying data pipelines
  • Analyzing large data sets to identify patterns and trends

Education

Stanford University, Palo Alto, California
Bachelor of Science in Computer Science, August, 2020

Skills

Negotiation
Computer Literacy
Problem Solving
Collaboration
Data Visualization
Data Visualization
SQL
MapReduce
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Kenny Bailey 726 Creekview Drive, Meadowbrook Farm, KY 40223
kennybailey@outlook.com
823-708-0343

Professional Summary

 A highly experienced Big Data professional with a proven track record in the Information Technology (IT) field. Experienced in leveraging complex data sets to develop actionable insights and drive business decisions. 

Employment history

Lead Big Data, Apple Cupertino, California
September 2012 – Present
  • Creating and managing data cubes
  • Optimize data storage and retrieval processes
  • Troubleshooting data issues
Associate Big Data, Apple Cupertino, California
April 2011 – August 2012
  • Implementing data security and governance policies
  • Working with cross-functional teams to define data requirements
  • Collaborate with IT and business teams to identify data needs
Jr. Big Data, Microsoft Redmond, Washington
September 2010 – March 2011
  • Create data models and algorithms to process Big Data
  • Developing and managing data marts
  • Developing and maintaining Big Data solutions

Education

University of Illinois at Urbana, Champaign, Illinois
Master of Science in Computer Engineering, August, 2010
University of Illinois at Urbana, Champaign, Illinois
Bachelor of Science in Computer Science, August, 2006

Skills

Emotional Intelligence
Project Management
Interpersonal
Planning
Data Mining
MapReduce
MongoDB.
Apache Kafka
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Richard Lewis 61 Langley Lane, Minooka, IL 60447
lewis.richard@mail.com
792-253-4910

Employment history

Senior Big Data, IBM San Francisco, California
July 2016 – Present
  • Developing and managing data warehouses
  • Creating and managing data cubes
  • Developing and deploying data pipelines
Associate Big Data, Amazon Seattle, Washington
January 2016 – June 2016
  • Developing and managing data warehouses
  • Creating and managing data cubes
  • Develop data visualizations to present insights
Jr. Big Data, Oracle Redwood City, California
July 2014 – December 2015
  • Integrate Big Data solutions with existing IT systems
  • Monitor system performance and troubleshoot issues
  • Optimize data storage and retrieval processes

Education

Stanford University, Palo Alto, California
CompTIA Security+, June, 2014

Skills

Collaboration
Time Management
Process Improvement
Innovation
Apache Storm
Apache Spark
Data Structures
Natural Language Processing
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Ursa Peters 859 Alderwood Drive, Euless, TX 76040
petersursa48@protonmail.com
961-292-1387

Professional Summary

 A highly experienced Big Data professional with a passion for utilizing technology to drive business growth and solve complex problems. Proven ability to develop and implement cutting-edge solutions to optimize data management and analysis. 

Employment history

Chief Big Data, Dell Technologies Round Rock, Texas
June 2014 – Present
  • Create data models and algorithms to process Big Data
  • Developing data mining algorithms
  • Creating data models and data visualizations
Big Data, HP Palo Alto, California
December 2012 – May 2014
  • Developing and managing data marts
  • Collaborate with IT and business teams to identify data needs
  • Develop data visualizations to present insights
Jr. Big Data, Dell Technologies Round Rock, Texas
December 2011 – November 2012
  • Develop data pipelines to collect, store, and analyze Big Data
  • Develop and maintain data security protocols
  • Designing and implementing data architectures

Education

University of California, Berkeley, California
Master of Science in Network Security, November, 2011
University of California, Berkeley, California
Bachelor of Science in Network Engineering, November, 2007

Skills

Planning
Documentation
Interpersonal
Networking
Data Visualization
ETL
Machine Learning
SQL
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big data Job Descriptions; Explained

If you're applying for an big data 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.

1

big data/hadoop developer

  • Analysis/tracking of captured project requirements using Rally tool.
  • Involved in developing Hive scripts to parse the raw data, populate staging tables and store the refined data in partitioned tables in the Hive.
  • Created Spark Jobs to transform the data and used Spark SQL to created data frames for querying. 
  • Hands-on experience in using Hive partitioning, bucketing and execute different types of joins on Hive tables and implementing Hive SerDes like JSON and Avro.
  • Worked on both External and Managed HIVE tables for optimized performance.
  • Worked extensively with HIVE DDLs and Hive Query language (HQLs) and implemented business logic using Hive UDF’s to perform ad-hoc queries on structured data.
  • Involved in creating Hive tables for Extracting, Transforming and Loading the data and writing hive queries that will run internally in Map Reduce way. 
2

big data

  • Importing and exporting data into HDFS and Hive using Sqoop. 

big data/hadoop developer Job Skills

For an big data/hadoop developer 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
  • Machine Learning
  • Data Visualization
  • Data Warehousing
  • Data Structures
  • Algorithms
  • Programming
  • Hadoop
  • MapReduce
  • ETL
  • Apache Spark
  • Apache Kafka
  • Apache HBase
  • Apache Hive
  • Apache Storm
  • Apache Flume
  • Apache Pig
  • Natural Language Processing
  • Cloud Computing
  • SQL
  • Data Mining
  • Machine Learning
  • Hadoop
  • Apache Spark
  • Data Warehousing
  • Data Visualization
  • Natural Language Processing
  • Cloud Computing
  • Data Modeling
  • Python
  • Java
  • SQL
  • NoSQL
  • Linux
  • AWS
  • ETL
  • MapReduce
  • Apache Kafka
  • Apache Storm
  • Tableau
  • MongoDB.

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/hadoop developer 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.

Larry Clark 148 Mountain View Road, Hordville, NE 68846

Employment history

Senior Big Data, Dell Technologies Round Rock, Texas
October 2010 – May 2022
  • Optimize data storage and retrieval processes
  • Developing and maintaining Big Data solutions
  • Develop and maintain data security protocols
Big Data, Accenture New York, New York
April 2010 – September 2010
  • Research emerging Big Data technologies and trends
  • Optimize data storage and retrieval processes
  • Write and maintain scripts to automate data processing
Entry Level Big Data, Google Mountain View, California
October 2008 – March 2010
  • Integrate Big Data solutions with existing IT systems
  • Optimize data storage and retrieval processes
  • Working with cross-functional teams to define data requirements

Education

University of Michigan, Ann Arbor, Michigan
Doctor of Philosophy in Information Systems, September, 2008
University of Michigan, Ann Arbor, Michigan
Bachelor of Science in Information Technology, September, 2004

Skills

Accounting
Social Media
Mentoring
Presentation
Data Visualization
Apache Spark
Apache Storm
Cloud Computing

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/hadoop developer 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.

Leonard Parker 372 Hillcrest Drive, Langston, AL 35755
parkerleonard5@zoho.com
758-822-5213

Professional Summary

 Experienced Big Data professional with a deep understanding of Information Technology (IT) principles and best practices. Proven ability to leverage data insights to optimize business processes and drive innovation. 

Employment history

Senior Big Data, Intel Santa Clara, California
July 2011 – Present
  • Optimise data storage an retrieval processes
  • Writin SQL queries an stored procedurs
  • Analysin large data sets to identify patterns an trends
Associate Big Data, Google Mountain View, California
December 2010 – June 2011
  • Mointor system performance and troubelshoot issues
  • Optimise data storage and retrival processes
  • Create data-driven report and dashboard's
Entry Level Big Data, Microsoft Redmond, Washington
June 2010 – November 2010
  • "I had went to the store yesterday."
  • "I had went gone to the store yesterday."

Education

Georgia Institute of Technology, Atlanta, Georgia
Bachelor of Science in Computer Information Systems, April, 2010

Skills

Relationship Management.
Customer Service
Collaboration
Negotiation
SQL
Apache Spark
MapReduce
AWS

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/hadoop developer Cover Letter Example

A cover letter can be a valuable addition to your job application when applying for an big data/hadoop developer 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.



Jeff
Parker jeffparker@protonmail.com
695-125-6188
39 Sycamore Avenue, Olney, MD
20833

Associate Big Data
Accenture
New York, New York

Greetings Accenture Hiring Team


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


As someone who has faced challenges in various areas of my life and has overcome them, I am confident in my ability to adapt and thrive in any environment. I have developed a reputation for being a collaborative team player and an effective problem solver, which has been instrumental in my career's success. With my experience and passion for Information Technology (IT), I am excited to apply my skills to this role and contribute to your organization's growth and success.


Thank you for considering my application for the Associate Big Data position. I hope you will allow me to show you what I am capable of bringing to your organization and how we can work together to make an impact on the industry.


Cordially,
Jeff Parker
695-125-6188
jeffparker@protonmail.com

Jeff Parker






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Resume Design Tips and Tricks

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