Offer summary

Qualifications:

Minimum of 10 years of experience in Hadoop administration., Strong knowledge of Hadoop infrastructure implementation and management., Experience with cluster maintenance, troubleshooting, and performance tuning., Educational background in Computer Science or related field is preferred..

Key responsibilities:

Administer and maintain Hadoop clusters and infrastructure.

Troubleshoot and monitor cluster performance, ensuring proper backup and recovery.

Manage the lifecycle of clusters such as EMR and EKS, including provisioning.

Optimize Hadoop workloads and perform capacity planning.

We are a staffing solutions and IT Solutions company that provides you with a platform to find the right fit for your desired job profile. The employment situation is constantly shifting with the changing times, and we are here to ensure that you gather the workforce that compliments your long-term goals. We understand the struggle of the search for talent that accommodates the skills and qualifications for specific profiles, one that blends in with the theme of your organization. We aim to be the best available source for young talent to find their dream jobs, by helping them narrowing down their options to the most suitable work profiles available in the market. At RIG, we consistently work towards creating the latest technology that may not only simplify your work process but also provides you with the most cost-effective solutions. We work hard to make sure that your business strives in the market to be on the top in your field.

Job description

Title : Lead Hadoop Admin
Location: Remote
Experience: 10+ Years

Job Description
• Responsible for implementation and ongoing administration of Hadoop infrastructure.
• Responsible for Cluster maintenance, trouble shooting, Monitoring and followed proper backup & Recovery strategies.
• Provisioning and managing the life cycle of multiple clusters like EMR & EKS. Infrastructure monitoring, logging & alerting with Prometheus/Grafana/Splunk.
• Performance tuning of Hadoop clusters and Hadoop workloads and capacity planning at application/queue level. Responsible for Memory management, Queue allocation, distribution experience in Hadoop/Cloud era environments.

Required profile