HADOOP ADMINISTRATOR SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Published: Apr 25, 2025 – The Hadoop Administrator has experience designing and managing enterprise-grade applications and massive-scale data systems, with deep expertise in Hadoop Administration and big data tool integration. This role demands proficiency in UNIX/Linux, SQL, Java, DevOps practices, and a wide array of technologies including HDFS, Hive, Spark, Kafka, Jenkins, Ansible, and Tableau. The administrator is also adept at resolving platform issues, optimizing performance, and ensuring seamless deployment and automation in Agile environments.
Essential Hard and Soft Skills for a Standout Hadoop Administrator Resume
- Hadoop Cluster Design
- Hadoop Platform Deployment
- Vendor Upgrade Application
- Scheduled Maintenance
- Troubleshooting
- Studies Prototyping
- Hadoop Administration
- Health Monitoring
- Component Configuration
- Resource Planning
- Business Process Support
- Data Analysis
- Ticket Management
- Crisis Management
- Project Collaboration
- Service Improvement
- Technical Documentation
- Proactive Support
- Policy Adherence
- Continuous Improvement
Summary of Hadoop Administrator Knowledge and Qualifications on Resume
1. BS in Computer Science with 4 years of Experience
- Hands-on experience and proficiency in working with the Hadoop ecosystem, iHDFS, Hive, Hbase, YARN, Sqoop, Oozie, Spark, Ambari, and Ranger.
- Experience in administrating the Hadoop stack, particularly HDP (HortonWorks)
- Scripting experience working in both Python and BASH
- Experience working in Linux/Unix environments
- Experience working with SQL and/or NoSQL
- Previous experience working with GIT/Jenkins
- Experience working with Kerberized environments
- Experience working with clusters
- Theoretical knowledge of big data/analytics concepts
- Experience developing and troubleshooting ETL
- Understanding of networking concepts, as well as relational data models
- Strong analytical and problem-solving skills
- Ability to work in a team environment to solve complex problems with little direction, with strong communication skills, both written and oral
2. BS in Software Engineering with 7 years of Experience
- Experience with Hadoop and its eco-system components HDFS, MapReduce, YARN, Sqoop, Flume, Pig, Oozie, Storm, Ranger, Kerberos, Hive, HBase, and ZooKeeper
- Worked in a 24/7 environment for production support in an on-call rotation
- Experience with performance tuning of Hadoop clusters and Hadoop MapReduce routines.
- Experience working in a screen Hadoop cluster job, performance, and capacity planning
- Working experience in monitoring Hadoop cluster connectivity and security
- Experience designing and building scalable infrastructure and platforms to collect and process large amounts of structured and unstructured data.
- Experience in adding and removing nodes, monitoring critical alerts, configuring high availability, configuring data backups, and data purging.
- Experience in troubleshooting, diagnosing, performance tuning, and solving Hadoop issues.
- Experience in configuring and maintaining Name and Space quotas of users and the File System.
- Knowledge on configuring Kerberos for the authentication of users and Hadoop daemons.
- General administration experience of Linux installation, User Creation, Group Creation, Permissions, and package management using YUM and RPM.
- Good communication and Analytical skills
- Excellent time management skills with the ability to coordinate multiple tasks to ensure project deadlines are met
3. BS in Network Administration with 6 years of Experience
- Experience managing and monitoring large Hadoop clusters (>1,000 nodes).
- Experience writing software scripts using scripting languages such as Perl, Python, or Ruby for software automation.
- Experience in the design and implementation of multi-platform, multi-system networks, including the composed CISCO and UNIX or Linux-based hardware platforms.
- Comfortable diagnosing network performance shortcomings and designing and implementing performance improvements.
- Have the ability to work with open-source (NoSQL) products that support highly distributed, massively parallel computation needs, such as HBase, CloudBase/Acumulo, and Big Table.
- Demonstrated work experience with the Hadoop Distributed File System (HDFS).
- Technical knowledge of peer-to-peer distributed storage networks, peer-to-peer routing, and application messaging frameworks.
- A Cloud Administrator certification, such as the Hadoop/Cloud Systems Administrator Certification.
- Demonstrated knowledge of analytical needs and requirements, query syntax, data flows, and traffic manipulation.
- Significant experience in provisioning and sustaining network infrastructures
- Experience developing, operating, and managing networks to operate in a secure PKI, IPSEC, or VPN enabled environment.
- Strong communication (written and oral), documentation skills, and interpersonal skills
- Ability to work in a fast-paced environment and perform duties without immediate supervision.
4. BS in Information Systems with 8 years of Experience
- Experience working in technology in building, designing, and maintaining enterprise-class applications and large data handling in the Petabyte range.
- Experience working in Hadoop Administration.
- Excellent knowledge and hands-on experience of UNIX/LINUX OS.
- Previous experience working with SQL.
- Experience with integrating big data tools with Hadoop
- Expert in implementing and troubleshooting issues related to HDFS, HBase, Impala, MapReduce, Spark, hadoop multi-tenant environment, R, Python, Hive, Hue, Kafka, Solr, Splunk, Unravel, Anaconda Notebooks, Tableau, SAS, and Spotfire.
- Possess a strong command of software-automation production systems (Jenkins and Selenium) and code deployment tools (Puppet, Ansible, and Chef).
- Should have experience with core Java development.
- Should have experience solving queries, jobs, and performance issues on the platform.
- Hands-on experience in Configuring and Administering SCM(GIT, SVN), Build (CMake, Make files, Maven), Nexus, CI(Jenkins), CD Automation Tools.
- Experience with DevOps and Agile engineering practices, Experience in Agile scrum methodologies.
- Excellent interpersonal and communication skills (both verbal and written).
- Must be self-directed, dependable, and punctual in a fast-paced work environment.