ELK Stack Engineer

Hi,

Position: ELK Stack Engineer

Location: St. Louis MO (DAYONE ONSITE)

Duration: 12+ Months

DAY ONE ONSITE

Mandate Skills :ELK Stack Engineer

Job Description.

• Design, develop, deploy, and maintain the enterprise logging platform using ELK.
• Experience with Kubernetes.
• Contribute in design understanding the architectural trade-offs including Scalability, Resiliency, High Availability and Security Perform capacity planning and solution review related to the ELK environment.
• Implement solutions to analyze business data and architect data structures using Elastic Search.
• Develop and manage high volume data ingestions and real time data flow processes.
• Work with data log streaming platforms and tools to ingest data from systems, applications, and access logs.
• Design and build multi-tenant dashboard solutions.
• Establish and maintain operational best practices for smooth operation of large Elastic solutions.
• Actively contribute to improving the ELK ecosystem.
• Optimize and tune the ELK environment (File beat, log stash) to meet the performance requirements.
• Partner with developers in building best practices for the data warehouse and analytics environment.
• Investigate emerging Elastic advancements that relate to our customer's needs and implement those upgrades.

Basic Qualifications:

• Bachelor's Degree (in Computer Science or related field) or equivalent, or 10 years of related experience in lieu of the degree.
• 6 years of programming required.5+ years hands-on experience with data visualization/business intelligence.
• 5+ years hands-on experience with supporting Elasticsearch in production, handling medium to large clusters.
• Experience in setting up ELK Stack (Elasticsearch, Log stash, Kibana stack) to process data from multiple data sources.
• Experience with Kibana visualization strategies, controls and techniques.
• Experience with Elasticsearch index configuration options, sharding, aliases, etc.
• Experience with Elastic API Integration.
• Experience with SQL and optimization of queries.
• Experience with CI/CD.
• Experience with buffering tools like Kafka, Redis.
• Exposure to Amazon Elasticsearch, Elastic Cloud, Pivotal Cloud foundry.
• Understand the Security and Access management concept.
• Should be ready to support production elastic applications with on call over the weekends on rotation basis.