| Elastic Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Sonu Uprati, ValiantIQ Inc [email protected] Reply to: [email protected] Role: Elastic Engineer Location: Remote Duration: 12+ Months Client: WWT/AT&T Required Qualifications: Elastic Certification: Certified Elastic Engineer or higher (e.g., Certified Elastic Analyst, Certified Elastic Developer). Experience: Senior-level experience (typically 5+ years) working with Elastic Stack (Elasticsearch, Log stash, Kibana, Beats). Proven track record of designing, implementing, and managing Elastic Stack solutions in production environments. Clearance: Ability to obtain a public trust clearance. Technical Skills: Elastic Stack Expertise: Deep understanding of Elasticsearch architecture, including indexing, search, and query performance optimization. Experience with Logstash for data ingestion and transformation. Proficiency with Kibana for data visualization and dashboard creation. Knowledge of Beats for lightweight data shipping. Data Management: Experience with data modeling, schema design, and data lifecycle management in Elasticsearch. Proficiency in managing large-scale data sets and ensuring high availability and scalability. Scripting and Automation: Proficiency in scripting languages such as Python, Bash, or PowerShell for automation tasks. Experience with configuration management tools like Ansible, Puppet, or Chef. Security: Knowledge of securing Elastic Stack deployments, including user authentication, role-based access control, and encryption. Familiarity with compliance standards and best practices for securing sensitive data. Performance Tuning: Skills in optimizing Elasticsearch performance, including shard allocation, indexing strategies, and query optimization. Monitoring and Troubleshooting: Experience with monitoring tools and techniques for Elastic Stack. Strong troubleshooting skills to diagnose and resolve issues in Elastic Stack deployments. Soft Skills: 10Communication: Excellent verbal and written communication skills to interact with stakeholders and team members. Ability to explain complex technical concepts to non-technical audiences. Problem-Solving: Strong analytical and problem-solving skills to address challenges and optimize solutions. Collaboration: Ability to work effectively in a team environment and collaborate with cross-functional teams. Additional Preferred Skills: Cloud Platforms: Experience with deploying and managing Elastic Stack on cloud platforms such as AWS, Azure, or Google Cloud. DevOps Practices: Familiarity with DevOps practices and tools, including CI/CD pipelines. Big Data Technologies: Knowledge of other big data technologies and frameworks, such as Hadoop, Spark, or Kafka. Machine Learning: Experience with Elastic's machine learning features for anomaly detection and predictive analytics. Thanks & Regards, Sonu Uprati Technical Recruiter- ValiantIQ Inc . "Searching Best Minds Searching Best Minds" Email: [email protected] P. 217-296-7483 F. (302) 482-3672 Disclaimer: If you are not interested in receiving our e-mails then please reply with a "REMOVE" in the subject line for automatic removal. And mention all the e-mail addresses to be removed with any e-mail addresses, which might be diverting the e-mails to you. We are sorry for the inconvenience. Keywords: continuous integration continuous deployment Elastic Engineer [email protected] |
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| Fri Jul 26 01:28:00 UTC 2024 |