Lead Hadoop Admin - US

Responsibilities include: Cluster maintenance, troubleshooting, monitoring, and backup & recovery strategies. Provisioning and managing the lifecycle 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. Should be able to scale clusters in production and have experience with 18/5 or 24/5 production environments. Monitor Hadoop cluster connectivity and security, file system (HDFS) management and monitoring. Investigates and analyzes new technical possibilities, tools, and techniques that reduce complexity, create a more efficient and productive delivery process, or create better technical solutions that increase business value. Involved in fixing issues, RCA, suggesting solutions for infrastructure/service components. Responsible for meeting Service Level Agreement (SLA) targets, and collaboratively ensuring team targets are met. Ensure all changes to the production systems are planned and approved in accordance with the Change Management process. Collaborating with application teams to install operating system and Hadoop updates, patches, version upgrades when required. Maintain central dashboards for all system, data, utilization, and availability metrics. Ideal candidate will have:8-12 years of total experience with at least 5 years of work experience in developing, maintaining, optimization, issue resolution of Hadoop clusters, supporting business users. Experience in Linux/Unix OS services, administration, shell, awk scripting. Strong knowledge of any programming language Python/Scala/Java/R with debugging skills. Experience in Hadoop (Map Reduce, Hive, Pig, Spark, Kafka, HBase, HDFS, H-catalog, Zookeeper and Oozie/Airflow).Experience in Hadoop security (Kerberos, Knox, TLS).Hands-on experience in SQL and No SQL databases (HBASE) with performance optimization. Experience in tool integration, automation, configuration management in GIT, Jira platforms. Excellent oral and written communication and presentation skills, analytical and problem-solving skills.