Bigdata/Hadoop Admin OR Kafka Admin

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  • Location:

    Mount Laurel

  • Job type:


  • Job ref:


  • Published:

    about 1 month ago

  • Expiry date:


  • Startdate:


Bigdata/Hadoop Admin OR Kafka Admin

Mount Laurel, NJ 08054

12 + Months

Onsite Day 1: Hybrid Model: 3 Days a Week!

Manage the deployment and configuration of hundreds of servers

Install and deploy software

Design, develop and test software applications.

Set up monitoring systems for all new hardware and software

Perform and automate, and monitor daily database backups and maintenance

Automate and maintain disaster recovery procedures, user assistance and troubleshooting

Automate repetitive tasks.

Configure and manage the automated deployment process

Work with the Quality Assurance team to determine if applications meet technical requirements

Diagnose performance issues both in the lab and in production, and propose and implement improvements

Analyze and resolve complex technical problems, particularly pertaining to Big Data products and applications

Plan database and server level capacity according to statistics and user requests

Provide 24x7 on-call production support










5 years of experience in Linux administration, memory, file systems, networking and debugging.

3+ years of experience with Cassandra. (OR any other NoSQL database)

3+ years of programming skills in Shell Scripting, Python and Perl.

3+ years of experience with Kafka (administration, configuration, troubleshooting).

Deep understanding of certificate management, TLS troubleshooting, single sign-on, encryption ciphers and key management.

3+ years of hands-on experience of using standard CICD/devops tools such as GitHub, Ansible, and build tools like Concourse, Jenkins.

Excellent in troubleshooting Java application and network related issues.

Excellent communication skills, both verbally and written.

Experience in writing technical system admin guides, installation guides and troubleshooting guides.

Knowledge of cloud computing technologies (AWS, Azure, CloudFoundry, etc.).

Degree: BS in computer science, computer engineering.

Desired Skills:

Working knowledge of network principles such as DNS, DHCP and TFTP is desired.

Experience with LaaS Stack (Elastic Search, logstash, Kibana) for monitoring.

Experience with Prometheus and Grafana collection and monitoring.

Familiarity with Kubernetes and Docker.

Experience of NoSQL (Mongo, Redis, etc.)

Digital Intelligence Systems, LLC (DISYS) is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.