HPE Data Platform engineer 100% Remote Contract Position W2 Position

Overview

Remote
$50 - $60
Full Time

Skills

Data Fabric
Unified Analytics
MapR
Python
NFS configuration
EBF

Job Details

  • HPE Data engineer
  • 12 months
  • 100% remote. Must be in the US
  • SCE
  • Rate: $60hr W2
  • MUST HAVE: MapR, HPE Data Fabric, HPE Unified Analytics

Senior HPE Data Platform Engineer

  • 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.


Jitender Sagar

Resource Manager

VRTEK Consulting

EMail:

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