Having a good understanding of the different pieces of the Sling TV Analytics stack
Having the knowledge and tools to fully operate our big data technology stack
Working with minimal guidance on daily operationalization of the systems and development
Working side-by-side with the DevOps team to fully automatize a new feature deployment
Owning our CI/CD pipeline and scripting technologies part of our stack
Owning the tooling for our key architectural components
A successful Big Data Infrastructure Engineer will have:
A 4-year college degree in Computer Science / Information Technology, masters degree is preferred or equivalent professional experience
3+ years of professional enterprise development experience
Experience with one or more of the following:
Operating a large-scale, high-uptime Kafka, Elastic search and/or Cassandra clusters in an on premise, public or hybrid cloud environments. Scaling up with zero-downtime big data technologies such as Kafka, Elastic search and Cassandra.
Working knowledge of building Apache Spark and Hadoop clusters pg. 2
Strong background in Linux systems, including shell scripting and performance tuning. Excellent understanding of Internet technologies and protocols (TCP/IP, DNS, HTTP, SSL, etc.) Aware of general monitoring principles and tools
Coding skills in Python, PHP, or another interpreted language like Perl or Ruby
Deployment and maintenance of Spring Boot Java backend-end applications
Configuration management tools like SaltStack, Puppet, Ansible or Chef. Experience with Kubernetes, Docker and or Jenkins
Job Description: * Having A Good Understanding Of The Different Pieces Of The Sling Tv Analytics Stack * Having The Knowledge And Tools To Fully Operate Our Big Data Technology Stack * Working With Minimal Guidance On Daily Operationalizati Looking for Masters/ Post Graduate graduates profile.
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