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Executive Order 11246, Section 503 & VEVRAA EOE, including disability/vets
Implementation Bachelor Degree In Computer Science Hadoop NoSQL Kafka Hive AWS Stro
Requirement id
107556
Job title
Administrator
Job location
in Maryland Heights, MO
Skills required
Big Data, Implementation, Cloud Experience, Bachelor Degree In Computer Science Hado
Open Date
17-Jun-2020
Close Date
Job type
Contract
Duration
6 Months
Compensation
DOE
Status requirement
---
Job interview type
---
Apply
Email Recruiter:
coolsoft
Job Description
Administrator: Big Data, Implementation, Cloud Experience, Bachelor Degree In Computer Science Hado
Candidate must be our W2 Employee.
Job Description :
Team:
Big Data Team-Building out data lakes
No development
When teams within Charter want to move data to the Hadoop platform will reach out to this team to have them implement and environment for them.
-Build backend data infrastructure (environment)
-build solution around environment the team is currently in and how to best move to the new one. (lift and shift environment without altering functionality)
Requirements:
-3-4 years of experience in Big Data
-Experience implementing solutions
-Experience managing clusters and adding/removing nodes
-Cloud knowledge is a plus
JOB SUMMARY
Designs, develop, automate, implement and support big data clusters using components including Hadoop (HDFS), YARN, Spark, Kafka, HBase, NoSQL, Authorization and Kerberos Authentication to enhance data analytic capabilities.
MAJOR DUTIES AND RESPONSIBILITIES
Design, develop, automate and implement big data clusters using Hadoop, YARN, Hive, Zookeeper, Kafka, NoSQL components.
Perform Platform administration and automation of Hadoop and Kafka including installation, maintenance, and configuration.
Perform troubleshooting and resolution management, and provide support to the customer, users, and technical teams.
Resolve issues related to development, operations, implementations, and system status.
Research and recommend options for department direction on Big Data management. Manage and maintain all production and non-production Hadoop and Kafka clusters and its infrastructure.
Develop run books for Ansible, Shell script, and Python for automation.
Review, develop, and walk through Java and Scala code to implement best practices and tuning.
Support multiple clusters of medium to large complexity with multiple concurrent users, ensuring control, integrity, and accessibility of data.
Create and maintain standard operating procedures and templates for cluster user access.
Design and implement a toolset that simplifies provisioning and support of a large cluster environment.
Enable and configure Kerberos for Hadoop components and implement enterprise security for Hadoop and Kafka.
Enable data encryption at rest and at motion with TLS/SSL to meet the security standards.
Responsible for system backups, and coordinate with infrastructure team for storage and rotation of backups is accomplished.
Big Data tenant onboarding, Enable Sentry for RBAC (role-based access control) to have a privilege level access to the data in HDFS/Hive/Kafka as per the security policies.
Perform cluster maintenance as well as creation and removal of nodes
Design and implement Backup and Disaster Recovery strategy
Participate in new tool discovery and technical deep-dive sessions, Proof-Of-Concept (POC) development with prospects
Screen Hadoop cluster job performances, manage, troubleshoot and review Hadoop log files.
Utilize expertise in technologies and tools, such as Kafka, Hadoop, Spark, and other storage systems as well as other cutting-edge tools and applications in Big Data space.
Performance tune Big Data components including Hive queries, and address performance issues related to schedulers and YARN
Participates in continuous performance improvement sessions to discuss opportunities to improve processes or standards
REQUIRED SKILLS/QUALIFICATIONS
Education: Masters degree or Bachelor degree (or foreign equivalent) in Computer Science, IT, MIS, or a closely related field.
4+ years of experience in handling large-scale distributed platforms or integration pr
Call
502-379-4456 Ext 100
for more details. Please provide Requirement id: 107556 while calling.
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