POC: Bharath Subramanya
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Job title: Senior Consultant | Redshift | Amazon Redshift Production Support Engineer
Work Location: Johnston, RI 02919
Vendor Rate: 60 USD/HR
Minimum years of experience: 8-10
Would you require the candidates to meet you for in person interview?
Is Skype/WebEx interview,OK? Yes
Is this onsite/remote position: Onsite
If onsite, will you be considering relocation candidates: No
Does this position require Visa independent candidates only? Yes
Job Description:
Amazon Redshift Production Support Engineer responsible for the day-to-day administration, monitoring, performance tuning, incident management, and operational support of enterprise-scale Redshift data warehouse environments.
The role involves ensuring platform stability, availability, security, and optimal performance while supporting business-critical analytics workloads.
Key Responsibilities
1. Production Support & Operations
Provide 24x7 support for Amazon Redshift clusters.
Monitor cluster health, availability, and performance.
Handle incidents, service requests, and problem management activities.
Participate in on-call rotations and production support coverage.
Perform issue triage and root cause analysis (RCA).
Coordinate with application, ETL, cloud, and infrastructure teams during incidents.
Maintain SLA compliance for incident resolution and service requests.
2. Redshift Administration
Provision and configure Redshift clusters.
Manage cluster upgrades and maintenance activities.
Perform node replacement and cluster resizing activities.
Configure workload management (WLM) queues.
Manage snapshots and backup strategies.
Restore clusters during failures or DR testing.
Implement parameter group and cluster configuration changes.
3. Having exp in Performance Tuning
Backup, Recovery & Disaster Recovery
Data Load and ETL Support
Capacity Planning
Documentation & Knowledge Management
Please provide the TOP skills, and the years of experience that you ll consider:
8-10 yrs
1. Amazon Redshift Production Support
2. Performance Tuning , Backup, Recovery & Disaster Recovery
3. Data Load and ETL Support , Capacity Planning , Documentation & Knowledge Management
Project Code: Child code for DB support team within RU