Hadoop Developer

Hadoop Developer Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Hadoop 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

Resume Skills: Programming

Resume Skills: Big Data Tools

  • Hadoop
  • Spark
  • Hive
  • MapReduce
  • HBase
  • Oozie
  • YARN
  • Pig
  • Flink
  • Flume
  • Sqoop
  • Kafka
  • Cassandra
  • ElasticSearch
  • Azure HDInsight
  • Amazon EMR
  • Apache Flink
  • IBM InfoSphere
  •  Match your resume to these skills

Resume Skills: Databases

Resume Skills: Data Modeling & ETL Tools

Resume Skills: Distributed Storage and Processing

Resume Skills: Hadoop Ecosystem

Resume Skills: Cloud Platforms

Resume Skills: DevOps Tools

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 Hadoop 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 Hadoop 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.

Select a free resume example
Your Name
Hadoop Developer
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Coached.com February 2021 - Present
Senior Hadoop Developer
Integrated Hadoop tools such as Hive and MapReduce with MongoDB to accelerate data processing speed by 35%
Implemented data serialization/deserialization toolkit Avro resulting in 20% improvement in access speed
Optimized HBase to store larger files, increasing data processing efficiency by 10%
Deployed Apache Pig as a scripting platform, reducing time needed for coding by 15%
Formulated resilient data analysis strategies using Hadoop ecosystem, increasing data accuracy by 20%
Microsoft July 2018 - January 2021
Hadoop Developer
Enhanced HDFS features for large data set handling, leading to 25% increase in system performance
Led the development and implementation of Sqoop, integrating it with the existing SQL databases, resulting in 30% faster data transit
Identified and rectified performance bottlenecks, improving the overall efficiency of data processing by 10%
Resume Worded January 2016 - June 2018
Junior Hadoop Developer
Collaborated in the development of Apache Hadoop applications to handle big data operations, boosting data processing speed by 20%
Contributed to the design and deployment of data analysis algorithms, relevating result accuracy by 15%
EDUCATION
Resume Worded University May 2018
Master of Science in Data Science & Big Data Analytics
Focus on Distributed Computing Systems and Advanced Database Systems
Resume Worded Institute May 2016
Bachelor of Science in Computer Science
Minor in Applied Mathematics
Award: Resume Worded Institute Merit Scholarship
SKILLS
Big Data Platforms: Hadoop, Spark, Hive, MapReduce, HBase, Oozie
Programming/Scripting Languages: Java, C++, Python (PySpark), Bash, R
Data Modeling & ETL Tools: Sqoop, Scala, Avro, Parquet, Flume, Pig
Database Systems: MySQL, Oracle, MongoDB, NoSQL Databases
OTHER
Certifications: Oracle Certified Professional, Java SE 8 Programmer
Projects: Developed data ingestion pipeline processing 100GB/day using Hadoop and Spark
Publications: Co-authored 'Big Data for Small Businesses: A Hands-On Guide' published in IEEE Transactions
Awards: Winner, Microsoft Hackathon for Innovative Big Data Solution (2019)
Your Name
Big Data Developer
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded March 2021 - Present
Senior Big Data Developer
Led the integration of Hadoop, Hive and Spark to the existing Big Data structure, improving data analysis speed by 25%
Designed and implemented Flume to ingest huge amounts of data, enhancing real-time data analysis by 40%
Deployed Sqoop tools to facilitate data transfer between Hadoop and external datastores, improving transfer speed by 20%
Orchestrated ETL processes using Apache Beam, increasing data transformation efficiency by 15%
Streamlined data partitioning and bucketing in Hive, resulting in a 25% improvement in querying speed
Coached.com September 2018 - February 2021
Big Data Developer
Developed efficient hashing algorithms, improving data storage and retrieval cost by 20%
Adhered to Hadoop security best practices, reducing potential system vulnerabilities by 15%
Enhanced Scalding scripts for better MapReduce abstraction, delivering 10% improvement in execution speed
Amazon June 2016 - August 2018
Junior Big Data Developer
Participated in data warehousing operations using Netezza, reducing operational latency by 15%
Assisted in implementing data modelling techniques, improving data quality by 20%
EDUCATION
Resume Worded University May 2016
Master of Computer Applications - Big Data Analytics
Specialized coursework: Big Data Tools, Machine Learning, Predictive Analytics
Resume Worded Academic Center June 2014
Bachelor of Engineering - Computer Science
Minors in Mathematics and Data Science
Awards: Dean's List 2014 (Top 10%)
SKILLS
Programming Languages: Python (Advanced), Java (Proficient), SQL (Advanced), Scala (Proficient)
Big Data Tools: Hadoop, Spark, Kafka, Hive, Pig, HBase, Sqoop, YARN, Oozie
Cloud Platforms: AWS (EC2, S3, Redshift, EMR, Lambda), Google Cloud Platform, Microsoft Azure
Data Tools: Tableau, QlikView, Power BI, ETL, Data Pipelines, Redshift
OTHER
Certifications: AWS Certified Big Data - Specialty, Certification in Hadoop & Spark (edX)
Professional Development: Big Data London Conference (Annual Attendee, 2016-2021), Data Science Meetups (Monthly Attendee)
Projects: Developed a Real-time Data Processing system using Kafka and Spark, Predictive analysis project using machine learning models and Hadoop ecosystem
Your Name
Hadoop Specialist
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Resume Worded January 2021 - Present
Senior Hadoop Specialist
Implemented multi-node Hadoop clusters using Docker, boosting processing power by 30%
Enhanced high speed processing of access logs using Apache Kafka, resulting in a 20% upturn in performance
Streamlined data ingestion through Flume, improving accuracy of real-time data analysis by 25%
Designed MapReduce algorithms for queries over NOSQL databases, reducing query time by 15%
Optimized Hadoop clusters with Yarn scheduler, improving resource allocation efficiency by 15%
Coached.com June 2017 - December 2020
Hadoop Specialist
Improved data extraction velocity through Sqoop, accelerating data transfer process by 20%
Developed Hadoop-based applications for large scale data mining, which led to a reduction in processing time by 15%
Facilitated debugging Hadoop cluster failures and recovery, reducing system downtime by 20%
IBM February 2015 - May 2017
Junior Hadoop Specialist
Assisted in optimizing Hive queries using different storage formats, decreasing the execution time by 10%
Collaborated on Hadoop cluster monitoring and troubleshooting, improving the system stability by 15%
EDUCATION
Resume Worded Institute January 2021
Certified Hadoop Professional
Part-Time Certification Program to upgrade skills for Hadoop
Resume Worded University May 2015
Master of Science in Big Data Analytics
Specialization in data mining and warehousing
Recipient of the Merit Award for Outstanding Performance
SKILLS
Hadoop Ecosystem: Hadoop, Hive, Pig, HBase, Mahout, Ambari, Oozie, Zookeeper
Big Data Tools: Spark, Flink, Flume, Sqoop, Kafka, Cassandra, ElasticSearch
Programming: Python, Java, Scala, SQL, Bash Scripting, R
Cloud Platforms: AWS, Google Cloud Platform, Azure, IBM Cloud
OTHER
Certifications: Cloudera Certified Data Engineer, AWS Certified Big Data Specialist
Leadership & Volunteering: Volunteer, Data Science for Social Good, Organizer, Local Big Data Meetup Group
Projects: Led a team to develop an open-source Big Data analytics platform, Published research on caching optimizations in Big Data
Your Name
Hadoop Administrator
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Coached.com March 2021 - Present
Senior Hadoop Administrator
Managed highly available Hadoop clusters using tools such as Ganglia and Ambari, increasing uptime by 25%
Safeguarded Hadoop file system data, which increased the rate of successful data recovery by 30%
Implemented HDFS-based data archival and backup process, preserving data integrity and reducing data loss by 20%
Overseen the data replications, space quota and file permissions, cutting down unauthorized data access by 10%
Instituted DataNode and NameNode based hardware and software metrics, improving system process efficiency by 25%
Resume Worded July 2017 - February 2021
Hadoop Administrator
Administered and maintained Hadoop clusters for optimal performance, increasing efficiency by 20%
Streamlined data movement across Hadoop clusters using Distcp, ensuring 15% faster data replication
Achieved 10% improvement in processing speed by optimizing Hadoop MapReduce parameters according to workload
Oracle April 2015 - June 2017
Junior Hadoop Administrator
Monitored the Hadoop ecosystem using Nagios, resulting in 15% improvement in fault detection and resolution
Assisted with disaster recovery measures, reducing data loss by 20%
EDUCATION
Resume Worded University September 2020
Master of Science - Data Science
Specialized in Big Data Analytics and Distributed Systems
Resume Worded Academic Center February 2019
Certified Data Management Professional (CDMP)
Gained proficiency in designing, implementing, and managing data systems
SKILLS
Big Data Technologies: Hadoop, MapReduce, YARN, Hive, Pig, HBase
Distributed Storage and Processing: Apache Spark, Flume, Sqoop, Kafka, Flink
NoSQL Databases: MongoDB, Cassandra, Redis, Neo4j
Development and Scripting Languages: Java, Python, Bash, Perl, Scala
OTHER
Certifications: Oracle Certified Professional, Java SE Programmer (OCPJP)
Projects: Developed and deployed multi-stage data pipeline using Hadoop, Hive, and Sqoop
Trainings: Completed intensive training on Google Cloud Platform for Big Data service
Conferences: Attended Big Data LDN 2019 and 2020 editions - Participated in hands-on workshops
Your Name
Big Data Engineer
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
EXPERIENCE
Microsoft April 2021 - Present
Senior Big Data Engineer
Innovatively used Python with Hadoop to handle petabytes of data, improving speed and reliability by 30%
Successfully implemented HBase to deal with sparse data sets, resulting in 25% increase in storage efficiency
Developed data validation frameworks using Hive and Pig, increasing data cleaning efficiency by 20%
Optimized BigData queries using Spark SQL, reducing data processing time by 15%
Introduced real-time analysis of data using Storm, improving decision-making base by 10%
Coached.com August 2018 - March 2021
Big Data Engineer
Developed distributed computing methods and algorithms, increasing data processing speed by 20%
Introduced Apache Drill to perform interactive analysis of large scale datasets, improving the query execution speed by 15%
Deployed security best practices on Hadoop cluster, reducing system vulnerability by 10%
Resume Worded June 2016 - July 2018
Junior Big Data Engineer
Assisted in the development of Hadoop-based ETL processes, resulting in 15% improvement in data loading speed
Contributed in the Hive and Pig scripting for ad-hoc querying, increasing the efficiency of operations by 20%
EDUCATION
Resume Worded University May 2018
Master of Science - Data Analytics
Focus on machine learning algorithms and data structures
Resume Worded Institute May 2016
Bachelor of Engineering - Computer Science
Minors in Mathematics and Big Data Analytics
Award: Dean's List 2015 (Top 5%)
SKILLS
Big Data Tools: Hadoop, Spark, Azure HDInsight, Amazon EMR, Apache Flink, IBM InfoSphere
Programming/Scripting Languages: Java, Python (Pandas, NumPy, SciPy), SQL, Bash, Perl, C++
DevOps Tools: Docker, Kubernetes, Jenkins, Git, Ansible, Terraform
Databases: MySQL, PostgreSQL, Microsoft SQL Server, MongoDB, Apache Cassandra, Oracle Database
OTHER
Certifications: Certified in Data Management Engineering (2021), Advanced Big Data Professional (2019)
Projects: Developed an optimized data pipeline for a banking client improving processing speed by 30%
Awards: Recipient of the 'Best Data Engineer' award at Coached.com (2020)
Volunteering: Mentor at ‘Code for Everyone’ initiative dedicated to teaching basic coding principles to underprivileged youth

How do I add skills to a Hadoop Developer resume?

1
Review the job posting closely.

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

2
Add industry skills like Hadoop and Hive.

Add other common skills from your industry - such as Apache Pig, HBase and Apache Oozie - into your resume if they're relevant.

3
Add skills into your work experience.

Incorporate skills - like Shell Scripting, Apache Kafka and Scala - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

4
Use the exact job title.

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

Word Cloud for Hadoop Developer Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Hadoop 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 Hadoop Developer Skills and Keywords to Include On Your Resume

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Hadoop 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.

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Frequently Asked Questions

What hard skills should you include on a Hadoop Developer resume?

On top Hadoop Developer resumes, skills like Hive, Hadoop, Apache Spark, Apache Pig, Sqoop, HBase, MapReduce and Apache Oozie appear most often.

Depending on the exact role you're applying to, skills like Scala, Shell Scripting, Yarn, Java and Apache Kafka can also be effective keywords to include on your resume.

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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