Senior HPE Data Platform Engineer

MUST HAVE: MapR, HPE Data Fabric, HPE Unified Analytics

Details:
Bachelor s degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent work experience).
5+ years of experience in managing and supporting large-scale distributed data platforms.
3+ years of hands-on experience with HPE Data Fabric (MapR) administration, including upgrades, user management, snapshot management, and security.
2+ years of experience working with HPE Unified Analytics (UA), Kubernetes environments, and associated container orchestration.

Demonstrated experience with:
MapR Ecosystem Packages (EP) and Emergency Break Fixes (EBFs)
Volume and quota management, node configuration, disk troubleshooting
Security and auditing within MapR file system, DB, and streams
Capacity planning and performance tuning
Proficiency with Linux system administration, including best practices for HPE platforms.
Experience monitoring and tuning cluster performance, resource usage, and alarm management.
Experience with NFS configuration, snapshot lifecycle policies, and data archiving strategies.
Familiarity with YARN queue configuration and MapR-DB / HBase performance tuning.
Ability to follow structured change management and document technical procedures and changes.

Preferred Qualifications:
HPE certifications in Data Fabric or Unified Analytics.
Experience with MapR Security configuration and auditing tools.
Strong scripting skills (e.g., Python, Bash) for automation and cluster optimization tasks.
Familiarity with ITIL practices or enterprise-level support models.

Soft Skills:
Strong communication skills to interface with customers and participate in stand-ups.
Proven ability to troubleshoot complex issues across nodes, services, and data layers.
Detail-oriented, with strong documentation habits and configuration consistency checking.
Team player with the ability to work collaboratively in cross-functional teams.