Job Description

Elastic Engineer.

Location: Remote

Duration: 12+ Month

Required Qualifications:

1. Elastic Certification:
   

• Certified Elastic Engineer or higher (e.g., Certified Elastic Analyst, Certified Elastic Developer).
  

1. Experience:
   

• Senior-level experience (typically 5+ years) working with Elastic Stack (Elasticsearch, Logstash, Kibana, Beats).
  
• Proven track record of designing, implementing, and managing Elastic Stack solutions in production environments.
  

1. Clearance:
   

• Ability to obtain a public trust clearance. 
  

Technical Skills:

1. 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.
  

1. 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.
  

1. 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.
  

1. 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.
  

1. Performance Tuning:
   

• Skills in optimizing Elasticsearch performance, including shard allocation, indexing strategies, and query optimization.
  

1. 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:

1. Communication:
   

• Excellent verbal and written communication skills to interact with stakeholders and team members.
  
• Ability to explain complex technical concepts to non-technical audiences.
  

1. Problem-Solving:
   

• Strong analytical and problem-solving skills to address challenges and optimize solutions.
  

1. Collaboration:
   

• Ability to work effectively in a team environment and collaborate with cross-functional teams. 
  

Additional Preferred Skills:

1. Cloud Platforms:
   

• Experience with deploying and managing Elastic Stack on cloud platforms such as AWS, Azure, or Google Cloud.
  

1. DevOps Practices:
   

• Familiarity with DevOps practices and tools, including CI/CD pipelines.
  

1. Big Data Technologies:
   

• Knowledge of other big data technologies and frameworks, such as Hadoop, Spark, or Kafka.
  

1. Machine Learning:
   

• Experience with Elastic's machine learning features for anomaly detection and predictive analytics.
  

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