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Big Data – Hadoop Admin / Support

Job ID : 15096

Job Title : Big Data – Hadoop Admin / Support

Location : Tarentum, PA

Company Name : Ateeca

Industry : Information Technology

Salary : $75,000 - $96,000  per year

Job Type : Contractor

Posted on: 2020-08-10

Required Skills : Kafka, Impala, Hue, Hive, Yarn, Oozie

Benefits : No benefits are available

Job Description:

  • This position is a Hadoop Support Engineer
  • They are looking for someone who has supported Hadoop environments VS someone who has built applications
  • No development is going to be happening in this role – only support
  • Knows how to get into the server and looking at logs
  • Having familiarity with the building applications/writing is a nice plus for understanding different processes, but the resource’s performance will be for the overall cluster
  • The environment is 100% Linux -  must have experience and knowledge with Linux
  • Experience with Sqoop is needed
  • Having DBA experience is a nice to have, but again looking for someone who is going to support the database only fully
  • The database type of experience the resource should have the full 6-8 years, but with Hadoop is okay with 4-5 years of experience

Required Skills:

  • Extensive DBA experience on multiple database technologies; Oracle experience a significant plus
  • Extensive experience with Hadoop platform support
  • Performance monitoring/tuning
  • Troubleshooting/resolving issues
  • Working with vendors & internal groups to determine Root Cause and remediation
  • Experience supporting/upgrading Cloudera Data Hub, Cloudera Manager, Cloudera Navigator (version 5.13.x or newer)
  • Designing/configuring/tuning replication (BDR or other replication tools)
  • Familiar with setting up and tuning of various components:
  • Kafka
  • Impala
  • Hue
  • Hive
  • Yarn
  • Oozie
  • Sentry
  • Key Trustee
  • Encryption (i.e. – NavEncrypt, HDFS encryption, etc)
    • Experience setting up new clusters (security, user authentication, backup/recovery, data replication, service segregation, failover, load balancing, storage, firewall rules, network, etc). Prefer experience with setting up on-premise clusters.
    • Experience designing and enhancing clusters and what factors trigger a redesign or enhancements (i.e. – new workloads, cluster resource constraints, user/data growth, new services/functions, etc)
    • Experience segregating workloads and users
    • Experience conducting proof of concepts and integrating 3rd party tools into the Hadoop environment
    • Experience with automation (dashboards, alerting, scripting)
    • Must be a team player (work with other members of team, other groups, vendors, etc)
    • Must be a good communicator (verbal and written)

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