| Hiring for Hadoop Spark Specialist at Charlotte, North Carolina, USA |
| Email: [email protected] |
| From: Barla Santosh, Gac Sol [email protected] Reply to: [email protected] Title: Hadoop/Spark Specialist Location: Charlotte NC (Hybrid) JD UPDATE We are seeking an Engineer specializing in Platform Support to ensure the seamless operation and optimization of our infrastructure. The ideal candidate will possess expertise managing Hadoop/Spark Clusters, Spark Application with a solid understanding of Helm and Kubernetes. This role requires adept problem-solving skills, the ability to collaborate across teams, and a passion for maintaining high-performance systems. Responsibilities: Provide advanced support for the company's platform infrastructure, focusing on Spark technologies. Monitor system performance, diagnose, and troubleshoot issues, and implement solutions to maintain high availability and reliability. Manage Hadoop clusters, including HDFS, YARN, and related ecosystem components, to support big data processing and analytics workloads. Configure and fine-tune Spark clusters for optimal performance and resource utilization, including memory management, scheduling, and data locality optimizations. Monitor cluster health and performance metrics using tools like Cloudera Manager, Ambari, or custom monitoring solutions, and proactively address any issues that may arise. Conduct regular performance assessments, identify areas for improvement, and implement optimizations to enhance platform scalability and stability. .Exposure to HELM, Kubernetis. Participate in on-call rotation to provide timely resolution of critical incidents and ensure 24/7 system availability. Document procedures, configurations, and best practices to facilitate knowledge sharing and ensure operational continuity. Stay updated on emerging technologies and industry trends related to platform support and distributed computing."Mandatory Thanks, Barla Santosh Technical Recruiter E: [email protected] www.gacsol.com Keywords: North Carolina Hiring for Hadoop Spark Specialist [email protected] |
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| Thu May 23 22:22:00 UTC 2024 |