Lead Hadoop Admin
Bay Area, CA (Onsite Hybrid 3 days a week)
Interview Process: 3 Rounds of Interview
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.
· 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.
Required Skills:
· 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 anyone 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
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