Job Title: Apptad Elasticsearch (ELK Stack) Engineer Job Location: Hopkins MN Dallas TX Atlanta GA SFO CA Brookfield WI Chicago IL St Louis MO Portland OR Charlotte NC (Hybrid Hub Location 3 days office) Job Duration: LongTerm
Job Description:
The ideal Elasticsearch (ELK Stack) Engineer candidate must be able to work dynamically proactively and both independently and as part of a team to achieve program objectives.
Must Have Elasticsearch
willingness to learn/Nice to have Cassandra MondoDB
Installation Migration Monitoring
Working with the team to design document build secure and maintain Elasticsearch Logstash Kibana (ELK Stack) Enterprise solutions deployed to support nonproduction and production deployments
Working closely with architects engineers and integrators to assess customer requirements and to design and support an ELK Stack solution
Follow life cycle processes to move solutions from Dev to Test to UAT to Production
Configuring and maintaining Linux based Operating system files in support of the Elasticsearch products (yum updates and product version upgrades)
Installing and configuring an Elasticsearch Database in a nonproduction and production environments and ensuring communication and integration among the Elasticsearch products and data sources
Documenting the installation and configuration for deployment into production Securing the solution by being familiarity with TLS certificates AD authentication and encryption technologies
Working with the data lifecycle management
Testing data flows troubleshooting issues and monitoring the health of the solution and servers to maximize performance and minimize downtime
Serving as a trusted advisor providing subject matter expertise guidance and best practice recommendations
Experience in migrating Elastic cluster from one platform to another
Required Skills:
Excellent written and verbal communication skills detail oriented effective interpersonal skills strong organization skills problemsolving ability attention to detail technical documentation skills and strong work ethic that is proactive and selfmotivated.
Must consistently seek to improve quality and efficiency.
Must be flexible and thrive in an evolving environment.
Experience handling multiple tasks changing priorities and timely action
5 years of Elasticsearch stack (Elasticsearch Logstash Beats Kibana) experience in production
Windows Linux and/or Red Hat Enterprise Linux (RHEL) experience
Experience with multinode clustering architecture development implementation and health monitoring of the indexes
Knowledge of hot/warm/cold data/index lifecycle management implementations
Knowledge of Elasticsearch Management reindexing and data mappings JSON and KQL searching syntax and Kibana dashboard options
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