Big Data Developer

Big Data Developer Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Big Data Developer job postings. In other words, these are the most sought after skills by recruiters and hiring managers. Go to Sample Templates ↓ below to see how to include them on your resume.

Remember that every job is different. Instead of including all keywords on your resume, identify those that are most relevant to the job you're applying to. Use the free Targeted Resume tool to help with this.

Choose a category
  • Apache Spark
  • Hive
  • Hadoop
  • Scala
  • Apache Kafka
  • Big Data
  • HBase
  •  Find out what your resume's missing
  • Sqoop
  • Apache Pig
  • MapReduce
  • Apache Oozie
  • Amazon Web Services (AWS)
  • Extract, Transform, Load (ETL)
  • Python (Programming Language)
  • Data Engineering
  • Apache Flume
  • Cassandra
  • Apache Impala
  • Shell Scripting
  • Cloudera
  • Big Data Analytics
  • SQL
  • Apache Sqoop
  • Java
  • Apache Spark Streaming

  •   Show full list

Resume Skills: Databases

Resume Skills: Programming

Resume Skills: Big Data Tools

Resume Skills: Software

Resume Skills: Big Data

Resume Skills: Other

Resume Skills: Data Modeling Tools

Resume Skills: Data Modeling

Resume Skills: Cloud Platforms

Resume Skills: Data Tools

  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Compare Your Resume To These Big Data Developer Skills (ATS Scan)

Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.

Sample Big Data Developer Resume Examples: How To Include These Skills

Add keywords directly into your resume's work experiences, education or Skills section, like we've shown in the examples below. Use the examples below as inspiration.

Choose a template
Your Name
Big Data Developer
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded January 2020 - Present
Senior Big Data Developer
Designed and implemented innovative big data solutions using Hadoop, Scala, and Apache Spark, improving operational efficiency by 30%
Led a team of 6 to perform extract, transform, load (ETL) operations on vast data sets, reducing data processing time by 40%
Developed Apache Kafka messaging queues processing up to 100,000 events per minute, increasing application performance by 50%
Enabled real-time data analytics using Apache Storm, facilitating business decisions and increasing sales by 12%
Enhanced data security by implementing advanced encryption protocols, reducing the risk of data breaches by 70% May 2017 - December 2019
Big Data Developer
Developed efficient data pipelines using Sqoop, MapReduce, and HBase, accelerating data ingestion processes by 25%
Performed deep analytics using AWS tools, driving insights that boosted customer retention by 15%
Implemented real-time processing and analytics solutions using Apache Flink, resulting in a 20% improvement in system responsiveness
Automated daily data transformation tasks using Apache Oozie, saving the company 15 hours per week
IBM August 2014 - April 2017
Associate Big Data Developer
Assisted in handling large data sets using Big Data, ingestion tools like Flume and Sqoop, and storage systems like HBase
Performed complex data analysis using Python and Hive, aiding in the generation of key business reports
Contributed to the creation of data models using Apache Cassandra, speeding up query response times by 15%
Resume Worded University May 2014
Master of Science in Computer Science - Big Data
Specialization in Big Data Systems
Resume Worded Academic Center October 2013
Certification in Hadoop
Certified by the Hadoop Certified Developer program
Software: RDD, Python(Advanced), Java(Intermediate), Spark, Hadoop, Hive
Big Data: Data Mining, Text Mining, Clustering, Classification, Regression
Databases: Cassandra, HBase, Neo4j, MongoDB, Oracle, MySQL, PostgreSQL
Other Skills: Machine Learning (Intermediate), Regression Analysis (Advanced), Predictive Modeling (Advanced), Statistical Analysis (Advanced)
Certifications: Spark Certified Developer (2022), Hortonworks Certified Developer (2021)
Projects: Developed a Multi-Tenant Data Architecture for, resulting in a 30% decrease in processing times
Volunteering: Developed an algorithm to aid in resource allocation for local food bank, significantly improving their operational efficiency
Your Name
Data Engineer
City, Country  •  (123) 456-789  •  [email protected]  •
Amazon February 2018 - Present
Senior Data Engineer
Led a team of 9 in designing and optimizing data architecture using AWS, reducing data latency by 35%
Developed advanced algorithms using Python programming, which drove a 40% increase in data analysis efficiency
Streamlined data flows using Apache Pig and Apache Impala, improving data management processes by 28%
Implemented data partitioning and bucketing using Hive, accelerating data retrieval times by 30%
Integrated exploratory data analysis with Big Data Analytics, influencing the creation of data-driven strategies that improved product sales by 20%
Resume Worded July 2015 - January 2018
Data Engineer
Built robust data processing pipelines using Apache Kafka and Hadoop, increasing data throughput by 45%
Deployed Cloud-centric Big Data solutions using AWS, resulting in a 30% reduction in infrastructure costs
Leveraged Scala and Shell Scripting to automate ETL tasks, saving the company 20 hours per week
Implemented and maintained Cloudera distribution for Hadoop, enhancing the organization’s Big Data capabilities
Google January 2013 - June 2015
Junior Data Engineer
Played a part in the integration of Apache Pig into the company’s data processing workflow, decreasing processing times by 15%
Participated in the design and implementation of scalable ETL architecture using AWS, driving increased effectiveness in data processing
Assisted with the utilization of MapReduce for big data processing, improving data processing speed by 20%
Resume Worded Institute January 2018
Certified Data Management Professional
Awarded by DAMA International, validating skills in data management
Resume Worded University December 2012
Master of Science in Data Analytics
Specialized in Data Modeling and Database Design
Recipient of the Outstanding Graduate Student Award
Programming: Python, Java, SQL, R, MATLAB, Scala
Big Data Technologies: Hadoop, Spark, Hive, Pig, Kafka, AWS Glue
Database Systems: Oracle, MySQL, PostgreSQL, MongoDB, Teradata
Data Modeling: ERWIN, Microsoft Visio, SQL Developer Data Modeler
Certifications: AWS Certified Big Data Specialty (2020)
Professional Development: Attended Strata Data & AI conference annually since 2015
Projects: Improved data processing speed by 20% by migrating legacy ETL jobs to DataFlow on Google Cloud Platform
Contributions: Regular contributor to 'Towards Data Science' blog on Medium
Your Name
Data Architect
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE March 2019 - Present
Data Architect
Developed and implemented large-scale data architectures using Hadoop, Scala, and MapReduce, increasing data processing speed by 37%
Utilized Apache Spark and Kafka for real-time streaming and analysis, providing business intelligence that grew market share by 10%
Led data standardization efforts using AWS services, decreasing data discrepancy by 25%
Integrated Python programming into data extraction and transformation processes, achieving automation that saved 30 hours per week
Initiated the adaptation of Apache Flink for stream processing architecture, optimizing real-time analytics by 15%
Microsoft December 2016 - February 2019
Data Architect Associate
Contributed to the development of data models using Apache Cassandra and HBase, enhancing data retrieval speeds by 20%
Assisted with the management and transformation of large data sets using Sqoop, Hive, and Python, lifting the effectiveness of data analysis
Played a part in the integration of AWS tools in the company's data systems, reducing operation costs by 22%
Resume Worded June 2014 - November 2016
Data Engineer
Assisted with the Hadoop ecosystem implementation, leading to a 20% improvement in data processing capacity
Supported with data analytics procedures utilizing Big Data Analytics, aiding in business strategy formation
Resume Worded University December 2014
Master of Science in Data Science
Specialization in Machine Learning and AI Systems
Resume Worded Institute May 2012
Bachelor of Science in Computer Science with Honors
Minors in Mathematics and Statistical Models
Awards: Resume Worded Academic Excellence Award 2012 (Top 5%)
Programming/Scripting: Python, SQL, Java, JavaScript, C#, Perl
Data Modeling Tools: ER/Studio, PowerDesigner, IBM Data Architect, Oracle Designer
Database Systems: MySQL, PostgreSQL, Oracle, MongoDB, MS SQL Server
Big Data Tools: Hadoop, MapReduce, Spark, Hive, Pig, Impala
Certifications: Certified Data Management Professional (CDMP), Certified Information System Security Professional (CISSP)
Leadership & Volunteering: Mentor, Balance the Equation Initiative - helping inspire more women to pursue careers in Data Science
Conferences & Seminars: Speaker, The Data Architect Summit 2020 - Presentation on 'Designing Scalable Data Models for the Future'
Continual Learning: Participated in AWS Global Summit 2021, Coursera 'Cloud Architecture with Google Cloud' Course

How do I add skills to a Big Data Developer resume?

Review the job posting closely.

Go through the Big Data Developer posting you're applying to, and identify hard skills the company is looking for. For example, skills like Scala, Big Data and Apache Spark are possible skills. These are skills you should try to include on your resume.

Add industry skills like HBase and Apache Kafka.

Add other common skills from your industry - such as Sqoop, Hadoop and Hive - into your resume if they're relevant.

Add skills into your work experience.

Incorporate skills - like Java, Amazon Web Services (AWS) and MapReduce - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

Show evidence of your analytical skills.

Analytical skills involve your ability to break down a problem and come up with effective solutions. On Big Data Developer resumes, hiring managers want to see evidence of how you analyzed quantitative or qualitative data.

Show your ability to analyze data.

In your Big Data Developer resume, show evidence of where you worked with and analyzed data of all formats, whether they're surveys, spreadsheets or databases. We've highlighted examples in the infographic for reference.

Use the exact job title.

Try to add the exact job title, Big Data Developer, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Big Data Developer Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Big Data Developer job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.

Top Big Data Developer Skills and Keywords to Include On Your Resume

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Big Data Developer Resume Templates

Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.

Resume Example
Entry Level Data Analyst

Resume Example
Senior Data Analyst

Resume Example
Marketing Data Analyst

Resume Example
Financial Data Analyst

Resume Example
Senior Data Engineer

Resume Example
Big Data Engineer

Browse Skills from Similar Jobs

Frequently Asked Questions

What hard skills should you include on a Big Data Developer resume?

Here are some of the most popular skills we see on Big Data Developer resumes:

  • Apache Spark
  • Hive
  • Hadoop
  • Scala
  • Apache Kafka
  • Big Data
  • HBase
  • Sqoop

Target your Resume to a Job Description

While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.

It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.

Start targeting your resume

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