ASTRAL MINDS CONSULTING

Hadoop Administrator

  • Job ID: 3IRMUIXG4F
  • Job Type: Full Time
  • Industry Type: IT Sector
  • Industry Location: Noida
  • Experience: 4-8yrs
  • No. of Positions: 13
  • Salary Range: 3-8 lac
  • Primary Skills: Kerberos Hive Linux Hadoop Big Data Mapreduce
  • Secondary Skills: Spark Impala Pig
  • Job Location: Noida
  • Posted Date: 4 days ago
Job Description

 

Experience 4+ yrs

Location – Gurgaon / Noida

 

JD for Hadoop Admin resource.

 

  • Responsible for implementation and ongoing administration of Hadoop infrastructure.
  • Deploy new hardware and software environments required for Hadoop and to expand existing environments.
  • Working with data delivery teams to setup new Hadoop users. This job includes setting up Linux users, setting up Kerberos principals and testing HDFS, Hive, Pig etc.
  • Hand-on software administration experience of one or more of the following: Hive; Impala; MapReduce; HDFS; Spark; Hadoop multi-tenant environments; Key Trustee Server.
  • Experience with Identity and Management technologies: LDAP; Kerberos; and Active Directory.
  • Performance tuning of Hadoop clusters and Hadoop MapReduce routines.
  • Screen Hadoop cluster job performances and capacity planning
  • Monitor Hadoop cluster connectivity, security, capacity planning, performance tuning, and ongoing monitoring
  • Manage Spark cluster/Hadoop environments, on bare-metal and container infrastructure, including service allocation and configuration for the cluster.
  • Deep understanding of Hadoop and Spark cluster security, networking connectivity and IO throughput along with other factors that affect distributed system performance.
  • Diligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality and availability.
  • Collaborating with application teams to install operating system and Hadoop updates, patches, version upgrades when required.
  • Should have experience troubleshooting queries; jobs; and performance issues on the platform.
  • Experience with AWS big data technologies is a plus.

 

 

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