Hadoop Support Engineer

5 - 8 years

20.0 - 25.0 Lacs P.A.

Bengaluru

Posted:Invalid date| Platform: Naukri logo

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Skills Required

HadoopHadoop ClusterApacheCVESupersetClusteringDeployment ProcessBug FixingDruidNew Enhancement FrameworkPlatform DevelopmentResource AllocationStakeholder ManagementResolutionLiaising

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role & responsibilities Very Important SKILL SET as per project need Managing & liaising with relevant stakeholder for escalated issues and enhancements. Apache Druid/Superset Admin Support with bug fixes and security patches and application-level security fixes Hadoop Support Engineer / Consultant to support our client onsite in Bangalore Location. 100% onsite Job Opportunity Scope - Managed Services Level 2 & Level 3 - User and cluster support for all Analytical Production & Non-Prod clusters Application/user query tuning and optimization Cluster patching, version upgrades, bug fixes deployment and new enhancements deployment Deploy security patches, CVE fixes deployment, regular maintenance of all clusters in scope including clean up, purging etc. Application & user onboarding, resource allocation, User access requests and other related Platform requests or queries resolution Hardware and network issue coordination with relevant stakeholders and provide resolution to end users of Hadoop Platform. Cluster expansion on all clusters. Managing & liaising with relevant stakeholder for escalated issues and enhancements. Apache Druid/Superset Admin Support with bug fixes and security patches and application-level security fixes 18x5 Support for tickets during the weekdays. On-call support for P1/P2 issues during weekends Create needed JIRA tickets for L4 Development team All the activities will be driven via Visas Service Now portal called as AskNow. The latest trends for last 6 months is roughly around 60/10 tickets/month comprising of all categories Incidents & Requests and Change approval tasks should be resolved in a timely manner within defined SLAs (indicative SLAs as below and to be firmed up during contracting stage) 60% tickets to be resolved within same business day. 90% tickets to be resolved within 3 business days. Resolution time for the rest 10% of tickets to be agreed with Visa Manager within 3 business days after ticket creation. Techstack and tools would primarily include Hadoop, HDFS, Spark, Hive, Kafka, Ranger, Yarn, Ambari, Kerberos ,Apache Airflow , Zookeeper, Druid , Superset etc Preferred candidate profile Bangalore Local Candidates Perks and benefits As per company policy

Information Technology and Services
Silicon Valley

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