Senior Consultant (Elastic)

Senior Consultant (Elastic)

1 Nos.
118726
Full Time
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
IT Software - System Programming
IT-Software/Software Services
Other - Other
Job Description:

Key Responsibilities:

1. Architecture & Deployment
  • Design and implement highly available and scalable Elasticsearch clusters.

  • Conduct architecture reviews, capacity planning, and performance optimization.

  • Ensure robust security configurations, including access controls and encryption.

2. Data Migration
  • Develop and execute data migration strategies, including snapshot and restore mechanisms.

  • Ensure seamless data movement across multiple clusters while maintaining data integrity.

3. Observability & Monitoring
  • Set up log collection pipelines using Beats and Logstash, normalizing data to Elastic Common Schema (ECS).

  • Deploy and configure uptime monitoring (Heartbeat), APM agents for Java applications, and synthetic monitoring.

  • Define ILM policies for optimized data retention and management.

4. Custom Integrations & Security
  • Implement and configure third-party integrations with Elasticsearch.

  • Develop custom parsers and ingestion pipelines for structured and unstructured data.

  • Enforce role-based access control (RBAC) and security best practices.

5. Dashboards & Alerting
  • Develop custom Kibana dashboards for monitoring system health and business metrics.

  • Implement 20+ detection rules and alerts for proactive system monitoring.

  • Work closely with stakeholders to define observability use cases and data visualizations.

Requirements:

  • 5 to 8 years of experience in Elasticsearch, Observability, or Cloud Data Engineering.

  • Excellent communication skills are mandatory for effective client interactions and solution presentations.

  • Strong expertise in Elasticsearch, Logstash, Kibana, and Beats.

  • Experience in Elastic Security, ILM, and data migration strategies.

  • Proficiency in cloud platforms (AWS, GCP, or Azure) and Kubernetes.

  • Hands-on experience in log collection, normalization, and custom pipeline development.

  • Strong knowledge of Linux environments, scripting, and automation.

  • Excellent problem-solving skills and ability to work in a client-facing role.

Company Profile

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