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DB Administrator - Pune - Amdocs - 2 to 4

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 DB Administrator - Pune - Amdocs - 2 to 4

Job Description

  • You will support the following levels: Physical - you will be responsible for the physical and technical oriented aspects e.g. storage, security, networking and more; Application - you will handles all application-related issues (e.g. queries, users, embedded SQL s etc.)
  • You will be providing solutions/helps to application team for Hadoop related issues.
  • You will be get more hands on Hadoop administrative tasks.
  • You will ensure Hadoop/database resources are sized properly and a design strategy is developed to make sure that the database is maintained at a healthy size.
  • You will ensure availability and performance of multi Hadoop/database and application environments with very large volumes and sizes.
  • You will perform routine DBA tasks like Hadoop/database maintenance, backups, recovery, table space management, upgrades, etc.
  • You will execute periodic health checks for Hadoop/databases and recommend changes that should be executed in the production environment to ensure optimal performance.
  • You will interact and work with multiple infra and IT teams as part of environment setup, maintenance and support
  • You will work closely with developers, assist them with database structure design as of business needs (e.g. indexes, constraints, integrity)


  • At least 2 to 4 years experience as a DBA in large environment
  • Experience in Hadoop, Oracle database management and architecture. (11g/12c/19c)
  • You should have the ability to work with Linux/Unix, and basics around it

Job Classification

Industry: Telecom / ISP
Functional Area: Engineering - Software,
Role Category: DBA / Data warehousing
Role: DBA / Data warehousing
Employement Type: Full time

Education

Under Graduation: Any Graduate
Post Graduation: Any Postgraduate
Doctorate: Any Doctorate, Doctorate Not Required

Contact Details:

Company: Amdocs
Location(s): Pune

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Keyskills:   Unix Health insurance Linux Networking Employee engagement Hadoop microsoft Amdocs network architecture SQL

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