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Hadoop HBase Spark Pig Linux Administration Python Hive Administrator
(Jobs in C
 
Requirement id 110647
Job title Administrator
Job location in Columbus, OH
Skills required Bachelors Degree, Hadoop, Unix Shell Scripting, HBase Spark Pig Linux Administration Pyt
Open Date 07-Oct-2020
Close Date
Job type Contract
Duration 4 Months
Compensation DOE
Status requirement ---
Job interview type ---
   Email Recruiter: coolsoft
Job Description Administrator: Bachelors Degree, Hadoop, Unix Shell Scripting, HBase Spark Pig Linux Administration Pyt

Note :3 month contract helping with an upgrade.

Job Description : Brief Description:

Huntington Bank is looking for a Hadoop Administrator in our Data Technology organization. You will lead the administration and maintenance of Hadoop and open source tools. You will also play an important role in setup, capacity planning, monitoring and performance tuning for Hadoop & Open Source infrastructure. You will also be responsible for upgrades and patching of the environment.

The administrator will need to have an in-depth knowledge of Hadoop administration, installation, configuration, monitoring and troubleshooting of Hadoop services.

HDP 3.1.5 Installation and experience is mandatory

Detailed Description:

The administrator should have strong understanding of Hadoop eco system such as HDFS, Yarn, MapReduce and data ingestion concepts.

Provide administration & support for Hadoop Cluster

Perform troubleshooting of Hadoop ecosystem services issues, performance analysis, ensuring security, developing and testing Unix Shell scripts, scripting in Perl, Java and coding required for Hadoop administration and associated core Hadoop ecosystem.

Implement LDAP integration & access controls for Hadoop Business groups.

Provide user onboarding of Hadoop users & support of day to day tasks

Set up configuration and management of security for Hadoop clusters using Kerberos and integration with LDAP/AD at an Enterprise level

Setup and manage back-ups for hadoop name node metadata, configuration directories & postgres, mysql DBs for ambari, ranger etc

Perform services install, configure settings, ranger policy updates and other administration tasks using Ambari admin tool

Implement upgrades, patch updates & fixes as needed

Set up and manage data access policy thru ranger

Install R & Python Packages as per business needs

Set up ingestion jobs into HDFS, Hive using sqoop, Nifi, Storm & kafka for flat file, RDBMS & other data sources

Create hive structures by applying proper compression, partitioning & encryption

Troubleshoot & solve job failures triggering from mapreduce, sparkR, R & sqoop ingestion jobs

Install client connectivity for SAS, Hadoop Environments to Databases and other sources

Monitor Hadoop cluster job performances and perform capacity planning

Basic Qualifications:

Bachelors degree

Min 5 years of experience with Hadoop Administration required of which at least 2 years in Hortonworks Hadoop is mandatory

HDP 3.1.5 Installation and experience is mandatory

Preferred Qualifications:

Experience in setting up and configuring hadoop clusters, set up of kerberos, backups and High availability is required

4 years of experience with development of common ingestion
framework, hive structure creation, compression, encryption steps

4 years of experience with unix shell scripting, Perl

3 years of experience with tools like Nifi , HBase, Spark, pig, storm, flume

3 years of experience with Hive which includes creation of schema structures, partitioning & performance tuning

3 years of experience with python, R or spark programming

Advanced knowledge of the Linux environment and ability to program in UNIX or other high-level programming languages is a plus.

Excellent analytical, written and oral communications skills

2 years of experience with Linux Administration
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 110647 while calling.
 
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(Administrator: Bachelors Degree, Hadoop, Unix Shell Scripting, HBase Spark Pig Linux Administration Pyt in Columbus, OH)
     
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