Sr. Hadoop Administrator (Hybrid Big Data & Cloud Platform) | Jacksonville, FL - Hybrid

Responsibilities

• Administers database systems to protect the confidentiality, integrity and availability of data.
• Responsible for installations, upgrades, backups, and configuration.
• Maintains query language for established database systems, designs and executes backup and recovery schemes, and implements disaster recovery procedures.
• Works with end-users and project team members to understand and advise on database and query requirements and capabilities.
• Serves on project teams contributing database subject matter expertise.
• Responsible for implementation and ongoing administration of Hadoop infrastructure.
• Aligns with the systems engineering team to propose and deploy new hardware and software environments required for Hadoop and to expand existing environments.
• Working with data delivery teams to setup new Hadoop users.
• This job includes setting up Linux users, setting up Kerberos principals, and testing HDFS, Hive, Pig, and MapReduce access for the new users.
• Cluster maintenance as well as creation and removal of nodes using tools like Ganglia, Nagios, Cloudera Manager Enterprise, Dell Open Manage, and other tools.
• Performance tuning of Hadoop clusters and Hadoop MapReduce routines.
• Screen Hadoop cluster job performances and capacity planning.
• Monitor Hadoop cluster connectivity and security.
• Manage and review Hadoop log files.
• File system management and monitoring.
• HDFS support and maintenance.
• Diligently teaming with the infrastructure, network, database, application, and business intelligence teams to guarantee high data quality and availability.
• Collaborating with application teams to install operating system and Hadoop updates, patches, version upgrades when required.
• Point of Contact for Vendor escalation.

Qualifications

• Related Bachelor's degree in an IT related field or relevant work experience
• 3-5 Years of DBA experience
• 5-8 Years of Hadoop Admin Experience
• Linux, Tools such as Toad, Starburst, Spark, Hadoop, S3, Nifi, Cloud platform, SQL.
• Certificates from AWS/ Snowflake/Azure or equivalent.
• Experience with Spark performance tuning, Cluster support for all data domains for data engineering jobs & warehouse queries both on premises and cloud.
• Support install/do POC for new tools