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(3+ Years) "Teradata" Hiring: Big Data Administrator On Nov 2019 @ Pune



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Company:      Teradata

Website:         www.in.teradata.com

Eligibility:      Any Graduate

Experience:    3+ yrs

Location:        Pune

Job Role:       Big Data Administrator

JOB SUMMARY:

Company profile :

Teradata can show you how. With our best-in-class analytics solutions, you can know more about what really matters—and do more than you ever thought possible Team up with the acknowledged industry leader—With our uniquely integrated solutions, you have the power to harness critical information, operationalize meaningful insights, and create unprecedented value.

Job Description:
1. This position is for a Senior Hadoop developer who will be specializing in Big Data (Hadoop/ MapReduce / Spark) Think Big projects.

2. Good experience on Java & Spark Development will be a key competency for this position.

Candidate Profile:
Qualification:
Any Graduate

Experience:
1. Minimum experience of 3 - 10 years in Managing and Supporting large scale Production Hadoop environments (configuration management, monitoring, and performance tuning) in any of the Hadoop distributions (Apache, Hortonworks, Cloudera, MapR, IBM BigInsights, Pivotal HD)

2. 3 - 10 years of experience in Scripting Language (Linux, SQL, Python). Should be proficient in shell scripting

3. 3 - 10 years of experience on Administrative activities likes-Administration, maintenance, control, and optimization of Hadoop capacity, security, configuration, process scheduling, and errors.

4. 3-10 years of Experience in Hadoop Monitoring tools (Cloudera Manager, and Ambari, Nagios, Ganglia etc).

Required Skills:
1. Management of data, users, and job execution on the Hadoop System

2. Experience in Backup, Archival and Recovery (BAR) and High availability (HA)

3. Plan for and support hardware and software installation and upgrades.

4. Experience may include (but is not limited to) build and support including design, configuration, installation (upgrade), monitoring and performance tuning of any of the Hadoop distributions

5. Hadoop software installation and upgrades

6. Experience of workload / performance management

7. Automation - experience in CI / CD (Continuous Integration / Deployment) – Jenkins, Ansible, Terraform, Puppet, Chef.

8. Implementing standards and best practices to manage and support data platforms as per distribution.

8. Proficiency in Hive internals (including HCatalog), SQOOP, Pig, Oozie and Flume/Kafka.

9. Experience in MySQL & PostgreSQL databases.

 













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