Job Title: Lead Hadoop Admin
Location: Remote
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.
What an Ideal candidate will look like?
• 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