Automatically apply for jobs with Zippia
Upload your resume to get started.
Hadoop administrator skills for your resume and career
15 hadoop administrator skills for your resume and career
1. HBase
- Configured the HBASE REST server and also monitoring it by starting and stopping as required.
- Installed and configured Apache Ranger and Apache Knox for securing HDFS, HIVE and HBASE.
2. Linux
Linux is a Unix-like operating system. Just like Windows, Mac OS, and IOS, Linux is an operating system used by millions across the globe. Android itself is powered by the Linux operating system. Linux manages all the hardware resources that are associated with your computer. The software is famous because of the protection it grants from viruses, malware, and crashes. The Linux operating system is entirely free and is an open-source software meaning it can be altered by those equipped with the knowledge to code.
- Provided application support for various applications deployed in Linux environment.
- Worked closely in designing and optimizing the configuration of Linux to meet the Service Level Agreements of our applications and services.
3. Python
Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.
- Developed python code using version control tools like GIT hub and SVN on vagrant machines.
- Developed scripts in shell and python to automate lot of day to day admin activities.
4. Hadoop Cluster
- Involved in installation and configuration of LDAP server and is integrated with the HADOOP cluster.
- Created and maintained Technical documentation for launching HADOOP Clusters.
5. Kafka
Kafka is a type of software that which data memory for storage, streaming, and analysis of data. This open-source software is often used to collect extensive data files for real-time data streaming to develop a new feature and create awareness of updates for new consumers or users. One of the most convenient software features is that it is reliable, fast, totally free, and designed for large networks and companies. It can run through various serves and gives them an additional storage capacity.
- Performed Kafka operations on regular basis.
- Worked on Apache Storm in combination with Kafka for Website Activity, Tracking Metrics Collection & Monitoring.
6. Kerberos
- Worked on authenticated user management by setting up Kerberos integrated with Active Directory.
- Involved in installation and configuration of Kerberos security setup on CDH5.5 cluster.
Choose from 10+ customizable hadoop administrator resume templates
Build a professional hadoop administrator resume in minutes. Our AI resume writing assistant will guide you through every step of the process, and you can choose from 10+ resume templates to create your hadoop administrator resume.7. Sqoop
- Developed entire data transfer model using Sqoop framework.
- Exported analyzed data to downstream systems using Sqoop for generating end-user reports, Business Analysis reports and payment reports.
8. Oozie
- Configured oracle 12c database for HIVE, RANGER, OOZIE and HUE for metadata management and SECURITY.
- Involved and played a key role in the development of an ingestion framework based on Oozie and another framework using Java.
9. Java
Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.
- Design and implement map reduce jobs to support distributed processing using java, Hive and Apache Pig.
- Implemented map reduce programs to perform joins on the Map side using Distributed Cache in Java.
10. Capacity Planning
Capacity planning is the process or method that balances the available hours of team members against the project or program that they need to accomplish. It comprises the resources to do the work or project and the necessities to complete a particular task. Capacity planning assesses the resources and the skill of the team to decide whether to hire or purchase additional resources, defer or delay the project, push through with it or cancel the project.
- Cluster maintenance including Capacity planning, adding and removing cluster nodes; cluster Monitoring and Troubleshooting.
- Performed capacity planning analysis, monitored and controlled disk space usage on systems.
11. SQL
- Involved in writing HQL queries, Criteria queries and SQL queries for the Data access layer.
- Used HiveQL to write Hive queries from the existing SQL queries.
12. Impala
- Created transaction using hive and Impala query editors and check the entries in the navigator logs.
- Performed installation, upgrade and configure tasks for impala on all machines in a cluster.
13. Cloudera Hadoop
- Participate in development/implementation of Cloudera Hadoop environment.
- Upgraded the Cloudera Hadoop ecosystems in the cluster using Cloud era distribution parcels.
14. OS
In technical terms, OS stands for "Operating System". It is a software that is used to run programs on the computer. An operating system acts as a link between the user and the hardware components. Windows, macOS, iOS, Linux are examples of an operating system.
- Implemented strategy to upgrade entire cluster nodes OS from RHEL5 to RHEL6 and ensured cluster remains up and running.
- Used Chef to manage OS dependencies and deploy third party packages.
15. Flume
- Installed and configured Flume to establish import/export data pipeline from various unstructured and semi structured data source.
- Involved in collecting and aggregating large amounts of log data using Apache Flume and staging data in HDFS for further analysis.
5 Hadoop Administrator resume examples
Build a professional hadoop administrator resume in minutes. Browse through our resume examples to identify the best way to word your resume. Then choose from 5+ resume templates to create your hadoop administrator resume.
What skills help Hadoop Administrators find jobs?
Tell us what job you are looking for, we’ll show you what skills employers want.
List of hadoop administrator skills to add to your resume
The most important skills for a hadoop administrator resume and required skills for a hadoop administrator to have include:
- HBase
- Linux
- Python
- Hadoop Cluster
- Kafka
- Kerberos
- Sqoop
- Oozie
- Java
- Capacity Planning
- SQL
- Impala
- Cloudera Hadoop
- OS
- Flume
- Ambari
- Hadoop Mapreduce
- Unix
- Hortonworks
- HDFS
- Zookeeper
- AWS
- ETL
- Nagios
- HDP
- Hadoop Log
- Cluster Connectivity
- BI
- NoSQL
- CPU
- Map-Reduce
- Jenkins
- Solr
- Configuration Management
- Encryption
- Version Upgrades
- CDH
- Windows
- LDAP
- Azure
- Red Hat
- Data Lake
- RDBMS
- Hive Queries
- POC
- Ruby
- Provisioning
- Tcp Ip
- Debugging
Updated January 8, 2025
