Cloud Era / Big Data Administrator

Role : Cloud Era / Big Data Administrator

Location : Torrance, CA

Job Description :

Looking for highly skilled Onprem Cloud Era / Big Data Administrator to manage big data platform :

Roles

Handle day-to-day operations; Administer, and monitor Big Data Platform components (Hadoop, Hive, HBase, BigSQL, etc)

Support Technical and Application team requests - data copies across environments, data cleanup, query tuning, etc.

Troubleshoot and resolve issues related to user queries, application jobs, etc.

Monitor and troubleshoot Big Data Platform, including hosted DBs, tools and services

Creating encryption zones ,managing encryption keys and copying data between the encryption zones.

Support projects / initiatives related to data acquisition, processing and utilization through Big Data Platform

Maintain and support Big Data Platform (CDP Private Cloud) and IBM BigSQL across multiple environments

Install new versions, patches; support upgrades of CDP Private Cloud and IBM BigSQL

Monitor and troubleshoot platform issues and performance tuning

Support security policies, documentation and compliance

Document processes and policies for Hadoop System Administration & Platform support activities

Work with end users to identify and resolve issues

Work with vendors to resolve issues as needed

Provide governance and support to project teams

• . Upgrade to CDP Private Cloud to CDP Public Cloud

Skills :

Bachelors' or Master's degree in Computer Science or applicable field of study

3-5 Years Of Experience In Hadoop Ecosystem (HDFS, MapReduce, Hive, HBase, Spark, Scala, Yarn, Sqoop, Ranger, Knox, Kerberos, LDAP, SOLR)

6+ Years Of Experience With Java And Linux / Unix

4+ Years Of Experience With Security, Scripting and Automation

2+ Years Of Experience In R, Python, Flume, Storm, Kafka,Pyspark

2+ Years Of Experience With IBM BigSQL Or Similar MPP SQL Engines

2+ Years Of Experience with MYSQL.

Experience with administration and performance tuning of Hadoop distributions (open source and commercial)

Highly competent with Data Lake concepts and Big Data capabilities

Good understanding of data virtualization , replication, Data G.

Experience with AWS or other Cloud-based PaaS / SaaS environments

Strong communication skills