Overview
Skills
Job Details
HPE Ezmeral Consultant
100% Remote
6-12 months can be extended for much longer
Linkedin with profile picture
NO H1B No USC
Job Description:-
need someone with HPE Ezmeral experience.
- 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.
The service definitions and details are described below:
- Meet with the customer (stand-ups) as required
- Follow and report status on all warranty HPE Support tickets as required
- OS patching and upgrades not included
Perform the following tasks but not limited for HPE Data Fabric (DF):
Perform DF platform upgrades as required*
Deploying DF Ecosystem Packages (EP) as required*
Apply Emergency Break Fixes (EBFs) as required*
Perform the following tasks but not limited:
Implement best-practice
Ongoing user and quota management
Modify users/groups to correct queues on the cluster
Implement user/group best practices on the cluster
Monitor and modify default quota values
Monitor volume quota threshold limits
Alert/Notify users/groups of quotas threshold (ex: 70%, 80%, 90%) limits
Determine whether volume quota to be increased with business/project owners:
Volume & Storage Management
Volume & Storage Auditing
Configure node and volume topologies
Monitor MCS Alarms
Work with local admin on disk related issues
Add/Remove/Configure Volumes
Data Protection
Configure Topology to meet documented data protection objectives
Implement Snapshots for user volumes
Check and validate scheduled snapshot per documented policies
Check that volume size is not growing beyond any expectation due to snapshot retention policies
Set proper expiration dates on Snapshots per business policy.
Cleanup expired snapshots to free volume space.
Provide NFS interface to move copies of data to an archival destination
Node Management
Node Configuration
Adding roles to a node
Removing roles to a node
Assigning roles to nodes for best performance
General Node Maintenance
Implement best practices for node management
Place a node into maintenance mode when required
Changing IP address or host name
OS best practice recommendations relevant to MapR
Capacity Planning (based on resource utilization)
Security Management
Configuring MapR Security for Clusters
Manage Security across MapR filesystem, database and streams and applicable ecosystem components
Manage Auditing
Cluster Monitoring
MapR Services Monitoring
Monitor Cluster health
Manage Service Metrics
Monitor Node Metrics
Monitor Disk I/O performance
Monitor Alarms
Log file setup and management
Log files monitoring
Cluster Resource Allocation
Capacity planning
YARN Queue Resources
Cluster Optimization
Meet with admins and identify the tasks that are repeatedly performed on the cluster.
Check and ensure parameters are consistent across nodes in the cluster
Determine cause for configuration file changes, and document reasons and change request details
Query and Data Model Review
MapR-DB / HBase hot-spotting review (incl. Table and Region management)
Perform the following tasks but not limited for HPE Unified Analytics (UA):
- Implement best-practice
- Perform UA platform upgrades as required*
- Perform Kubernetes upgrades as required*
- Create necessary users and groups
- Add storage/data connections
- Monitor, notify, and remediate UA Alarms
Troubleshoot failed nodes/containers
Regards,
Mayank