5 Amazing big data developer Resume Examples (Updated 2023) + Skills & Job Descriptions

While big data baffles most people, you spent years learning how to harness its capabilities for various employers. As a big data developer, you oversee the proper operation of a business's technological infrastructure, comply with all applicable and current industry guidelines, and identify alternative solutions when you can. However, now that you are on the job hunt, you may not be sure how to combine this experience with a strong big data developer resume. An applicant tracking system may scan your submission to determine if you advance to the next stage of the hiring process. Without the elements of an effective resume, such as action words and metrics, your job search may drag on longer than you like. Fortunately, we have you covered. Our professional resume writers offer a resume sample for you to study. We also provide writing tips and templates for big data developers whether you have years in the industry or are just getting started, as we know that work experience alone does not make resume writing easier. Crack the code to booking interviews and getting the job you deserve.

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big data developer: Resume Samples & Writing Guide

Professional Summary

Highly experienced Big Data Developer with a passion for leveraging technology to drive business solutions. Proven record of success designing, developing, and deploying Big Data applications to improve data processing and analytics.

Employment history

Chief Big Data Developer, Microsoft Redmond, Washington

April 2010 – Present

Develop and maintain data integration solutions
Develop data integration processes
Analyze large sets of data to identify trends and patterns

Associate Big Data Developer, Accenture New York, New York

April 2009 – March 2010

Develop and maintain data quality assurance processes
Write complex SQL queries
Develop and maintain data warehouses and data lakes

Entry Level Big Data Developer, Amazon Seattle, Washington

April 2008 – March 2009

Implement data security protocols to protect sensitive data
Troubleshoot data-related issues
Utilize big data technologies such as Hadoop, Spark, and NoSQL

Education

Cornell University, Ithaca, New York

Microsoft Certified Solutions Expert (MCSE), February, 2008

Skills

Self-Motivation

Coaching

Problem Solving

Strategic Thinking

Data Warehousing

Scala

Big Data Analytics

Apache Storm

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Employment history

Jr. Big Data Developer, Accenture New York, New York

May 2022 – February 2023

Monitor and optimize query performance
Develop and maintain data pipelines
Implement data security protocols to protect sensitive data

Education

Carnegie Mellon University, Pittsburgh, Pennsylvania

Bachelor of Science in Software Engineering, March, 2022

Skills

Negotiation

Decision Making

Database Management

Coaching

Python

Data Warehousing

Data Modeling

Machine Learning

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Professional Summary

A Big Data Developer with extensive experience in the Information Technology (IT) field, leveraging the latest technologies to design and develop effective solutions to complex data problems. Proven track record of delivering successful data-driven projects, with a focus on scalability, reliability, and security.

Employment history

Chief Big Data Developer, IBM San Francisco, California

March 2010 – Present

Create data visualizations for reporting and analysis
Implement data security protocols to protect sensitive data
Work closely with stakeholders to define requirements

Associate Big Data Developer, Microsoft Redmond, Washington

August 2009 – February 2010

Design, develop, and implement big data solutions
Implement data security protocols to protect sensitive data
Troubleshoot and resolve data-related issues

Junior Big Data Developer, Apple Cupertino, California

February 2009 – July 2009

Develop and maintain data integration solutions
Develop and maintain ETL processes
)

Education

University of Illinois at Urbana, Champaign, Illinois

Bachelor of Science in Network Security, December, 2008

Skills

Project Management

Accounting

Quality Assurance

Collaboration

Data Modeling

Tableau.

Natural Language Processing

Data Mining

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Professional Summary

A highly skilled Big Data Developer with extensive experience in the Information Technology field. Proven ability to develop innovative solutions to complex data challenges and deliver successful projects.

Employment history

Chief Big Data Developer, Amazon Seattle, Washington

June 2011 – Present

Implement data governance policies
Develop and maintain data integration solutions
Develop and maintain ETL processes

Associate Big Data Developer, Google Mountain View, California

December 2010 – May 2011

Write complex SQL queries
Design and develop Big Data solutions
Collaborate with data scientists, engineers, and other IT professionals

Entry Level Big Data Developer, Oracle Redwood City, California

December 2009 – November 2010

Design, develop, and implement big data solutions
Implement data security protocols to protect sensitive data
Design and develop Big Data solutions

Education

Cornell University, Ithaca, New York

Bachelor of Science in Cyber Security, October, 2009

Skills

Troubleshooting

Process Improvement

Teamwork

Collaboration

Deep Learning

Apache Hive

Apache Spark

Cloud Computing

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Employment history

Senior Big Data Developer, Accenture New York, New York

August 2016 – Present

Analyze large sets of data to identify trends and patterns
Collaborate with data scientists, engineers, and other IT professionals
Develop and maintain data integration solutions

Associate Big Data Developer, IBM San Francisco, California

February 2016 – July 2016

Analyze and process large data sets
Develop and maintain data quality assurance processes
Develop data visualizations to present findings

Junior Big Data Developer, IBM San Francisco, California

August 2014 – January 2016

Implement data security protocols
Analyze and process large data sets
Develop and maintain data integration solutions

Education

Carnegie Mellon University, Pittsburgh, Pennsylvania

Master of Science in Software Engineering, July, 2014

Carnegie Mellon University, Pittsburgh, Pennsylvania

Bachelor of Science in Computer Science, July, 2010

Skills

Visualization

Coaching

Technical

Risk Management

Apache Spark

Deep Learning

Natural Language Processing

Data Warehousing

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big data developer Job Descriptions; Explained

If you're applying for an big data developer 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.

big data developer

Involved in analysis of requirements and business rules based on given documentation and work closely with tech leads and Business analysts in understanding the current system.
Analyze the data coming from different resources to know its schema and functionality.
Use Sqoop scripts to ingest data from different RDBMS sources into Hadoop Cluster (HDFS) and created Hive tables, partitions, data loading into hive tables, etc.
Worked on several functions in Scala Library to build Spark Applications, Spark SQL, RDDs -Transformations, Actions, data frames and pushed the results to the HDFS.
Developed Hive programs to parse the raw data, populate staging tables and to store the redefined data in partitioned tables in the EDW.
Created Hive Queries and Scala applications that helped marketing analysts to spot emerging trends by comparing fresh data with EDW reference tables and historic metrics.

big data developer

implemented Python and Go scripts REST API’s to connect different file systems (HDFS, SFTP and Aws S3), Database systems (ORACLE, PostgreSQL, MySQL, Cassandra and Mongo DB) and external systems (SAP, Salesforce and Kinaxis) for ETL process.
Implemented to upload and process large scale of files with in short time using Scala and Spark RDD/DF technologies.
Design, Modified, Improved Python, JavaScript by code refactor.
Responsible for Design and Develop the Scala and Node based technologies.
Worked closely with Business and Technical Design architects to understand the flow.
Used docker/ kubernetes mechanism to run all services of product.
Automated data extract and load into different systems under SCM with high security.

big data developer

Modified the existing code as per the requirements.
Decreased the run time of the jobs by performing performance tuning in the hive scripts.
Monitored jobs in production ensuring that there are no failure.
Fixed failed jobs and bugs in the application.
Automated the logs of every feed received by the application for the better understanding of the downstream team.
Co-authored design document for the new requirement of the existing application.

big data developer

Client : Intel
Environment : LINUX Software
Development Model : Agile Model
Implemented automated mail alert system for ETL flow status.

big data developer

Gain hands-on experience on polyglot development culture.
Write Unit and Integration tests to ensure end to end code coverage.
Recommended architectural improvements, design solutions and integration solutions. (Optimise workflows, choosing better platforms, migrating CI Pipelines)
Design RBAC system and developed REST API’s by NodeJs, MySQL database.

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big data developer Job Skills

For an big data 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
Data Modeling
Hadoop
Apache Spark
ETL
Machine Learning
Natural Language Processing
Deep Learning
Data Warehousing
Data Visualization
Cloud Computing
SQL
NoSQL
Java
Scala
Python
Apache Kafka
Apache Storm
Big Data Analytics
Apache Flink
Tableau.
Data Mining
Data Modeling
Data Warehousing
Hadoop
Apache Spark
Apache Kafka
Apache Storm
Apache Flume
Apache Pig
Apache Hive
Apache HBase
NoSQL
ETL
Machine Learning
Natural Language Processing
Deep Learning
Cloud Computing
Linux
Python
Java.

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 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.

Professional Summary

A highly motivated Big Data Developer with extensive experience in the IT field. Possesses strong analytical and problem-solving skills, able to develop solutions to complex data challenges.

Employment history

Senior Big Data Developer, IBM San Francisco, California

October 2014 – Present

Analyze and process large data sets
Utilize Big Data technologies (Hadoop, MapReduce, Spark, etc
Design, develop, and implement big data solutions

Associate Big Data Developer, Dell Technologies Round Rock, Texas

October 2013 – September 2014

Design and develop Big Data solutions
Collaborate with data scientists, engineers, and other IT professionals
Develop and maintain data quality assurance processes

Junior Big Data Developer, IBM San Francisco, California

April 2012 – September 2013

Education

Massachusetts Institute of Technology, Boston, Massachusetts

Bachelor of Science in Computer Information Systems, March, 2012

Skills

Self-Motivation

Documentation

Database Management

Planning

NoSQL

Machine Learning

Deep Learning

Hadoop

Include your Contact Information and Job Descriptions

Missing job descriptions lessens your chances of getting hired.

Key Insights

Employers want to know what you've accomplished, so make sure to include descriptions for all of your previous jobs.
Keep job descriptions short but don't just list your jobs.
Never copy-paste a job description to post on your resume. Get inspired and use tools to help you write customized descriptions.

How to Optimize Your big data 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.

Employment history

Lead Big Data Developer, Microsoft Redmond, Washington

October 2016 – May 2022

Create and maintain data warehousess
Develop data visualisation to present findingss

Big Data Developer, IBM San Francisco, California

April 2016 – October 2016

Troubleshoot and resolv dat-related isssues
Analize larfe sets of data to identifiy trends and patterns
Desig, develop, and implement big data solutuions

Jr. Big Data Developer, Accenture New York, New York

October 2015 – March 2016

Analysse and proccess large data sets
Work closeley with stakeholders to define requirments
Utilise Big Data technoligies (Hadoop, MapReduce, Spark, etc.

Education

Stanford University, Palo Alto, California

Master of Science in Cyber Security, August, 2015

Stanford University, Palo Alto, California

Bachelor of Science in Computer Science, August, 2011

Skills

Creativity

Negotiation

Visualization

Stress Management

Scala

Data Warehousing

Apache Flink

Linux

Correct Grammar and Address Gap Years in Your Resume

Don't leave unexplained gaps in your work history.

Key Insights

When explaining gaps in your employment section, start by being honest.
Elaborate on the gap and show that you never stopped learning.
Explain and elaborate any gap in your work history by highlighting new skills.

big data developer Cover Letter Example

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

Chief Big Data Developer
Dell Technologies
Round Rock, Texas

To the respected Dell Technologies Recruitment Team

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

My life experiences have taught me the importance of hard work, dedication, and collaboration. Whether it was on the work, or just personally, I have always been committed to pursuing my goals with passion and tenacity. I am confident that throughout all of these years I have gained the skills and expertise necessary to succeed in this role and be a great asset for Dell Technologies. I am eager to join a team that shares my values and work towards a common goal.

Thank you for considering my application for the Chief Big Data Developer 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.

Kindest regards,
Charles Taylor
842-500-1878
charles_taylor@mail.com

Charles Taylor

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