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Executive Order 11246, Section 503 & VEVRAA EOE, including disability/vets
Core Java DevOps Hadoop AWS UnixLinux Administrator
(Jobs in Alpharetta, GA)
 
Requirement id 112375
Job title Administrator
Job location in Alpharetta, GA
Skills required SQL, Java Development, Core Java, DevOps Hadoop AWS UnixLinux
Open Date 15-Dec-2020
Close Date
Job type Contract
Duration 17 Months
Compensation DOE
Status requirement not found
Job interview type ---
Apply
   Email Recruiter: coolsoft
Job Description Administrator: SQL, Java Development, Core Java, DevOps Hadoop AWS UnixLinux

Note: MUST HAVE SOME TYPE OF CLEARANCE (secret, top secret, etc).

Candidate must be our W2 Employee.

We should submit only GC,GC - EAD, L2-EAD,H4-EAD and Citizens.

Job Description:

The Big Data Hadoop/cloud administrator will be part of the global Analytics team implementing and supporting leading edge analytical solutions on Hadoop Clusters On-Prem and/or in AWS/GCP. You should be passionate about data, system administration, implementation challenges and learning new technologies, and willing to improve and support Hadoop clusters on-prem and in cloud. Considering that we are working in distributed teams between United States, India and Chile to perform research and development on how to improve our analytical assets in the USA, Australia, Europe, Canada and Latin America, you should be a great teammate and have flexibility to work in moving time spans, given the time zone differences between countries.

Active clearance and US citizenship are required for this role.

What you will do:

The individual in this position will be responsible for cluster management, cluster alteration and enhancement, cluster service management - upgrade, add and remove nodes, keep track of jobs, monitor critical parts of the cluster, configure name-node high availability, schedule and configure it and take backups.

Work with global teams on the administration and implementation of Analytical platforms on On-prem and in GCP using cloud native big data technology stack

Be able to install and update various analytical tools required (ex. RStudio, Anaconda Notebooks, Tableau, SAS, and Spotfire).

Be able to solve issues with analytical tools and clearly explain the same to other admins and tool vendors.

Document installations, user on-boarding, and standard methodologies. Ensure that procedures and infrastructure details are properly documented and shared among the team.

Interact with users continuously to address their issues and search for the optimum usage pattern to propagate.

Solving issues, performance tuning, security remediation/patch management, Upkeep of the platforms

Deploy/implement new instances of our financial product (Customer facing Analytical platform) in the cloud through cloud formation templates and/or on-prem setup.

Ensure that every cluster and services are always available without performance issues, using monitoring and alerting tools

Learn about all the technologies involved in the project. We expect our engineers to be well-rounded and be able to support end-to-end solutions.

Work in a privileged account security architecture, caring about all the security policies involved

Propose new and better ways to tackle problems from technology view or process view. Be part of the technical and procedural solutions being worked by the team.

Develop training materials and provide training to internal IT and business users

Qualifications

You have attained your Bachelors degree (Computer Science or a related field) and have minimum 2-4 years of experience working in Technology in building, designing, maintaining enterprise class applications and large data handling in Petabyte range.

Candidates should have a minimum of 5 years of experience in Hadoop Administration.

Excellent knowledge and 3+ years of hands on experience of UNIX/LINUX OS.

Candidates should have 3+ years experience in SQL.

Should have 2+ years of experience with integrating big data tools with Hadoop and Expert in implementing and troubleshooting issues related to HDFS, HBase, Impala, Mapreduce, Spark, hadoop multi-tenant environment, R, Python, Hive, Hue, kafka, Solr, Splunk, Unravel, Anaconda Notebooks, Tableau, SAS and Spotfire.
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 112375 while calling.
 
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(Administrator: SQL, Java Development, Core Java, DevOps Hadoop AWS UnixLinux in Alpharetta, GA)
     
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