Senior ELK Developer

2 weeks ago

Bengaluru, India PITCS Full time

Key Responsibilities :

- ELK Development : Design, implement, and maintain advanced ELK Stack solutions for log and data analysis, including custom pipelines and data enrichment.

- Log Ingestion : Develop efficient log ingestion pipelines using Logstash, ensuring data is parsed, transformed, and normalized for effective analysis.

- Elasticsearch Management : Manage Elasticsearch clusters, including index optimization, data retention policies, and scaling for performance and availability.

- Kibana Dashboards : Create and maintain complex Kibana dashboards and visualizations for real-time monitoring and data exploration.

- Alerting and Notification : Configure alerting and notification mechanisms within the ELK Stack to proactively identify and address issues.

- Data Parsing and Enrichment : Implement custom log parsing and data enrichment techniques to extract valuable insights from log data.

- Performance Optimization : Monitor and optimize the performance of ELK Stack components, including resource allocation, query performance, and index management.

- Security Implementation : Implement advanced security measures, access control, and encryption within the ELK Stack to protect sensitive data.

- Scaling Strategies : Develop and implement advanced scaling strategies to handle growing data volumes and user traffic.

- Integration : Integrate ELK Stack with various data sources, third-party tools, and applications.

- Troubleshooting and Debugging : Investigate and resolve complex issues related to log data, log parsing, and ELK Stack performance.

- Documentation : Create and maintain detailed documentation on ELK Stack configurations, architecture, and best practices.

Qualifications and Skills :

- Bachelor's degree in computer science, Information Technology, or related field (or equivalent work experience).

- Proven experience as an ELK Developer, with a focus on advanced development and optimization.

- Extensive knowledge of the ELK Stack, including Elasticsearch, Logstash, and Kibana.

- Have a proficiency in Logstash configuration, Elasticsearch query DSL, and Kibana visualization.

- Strong experience with log parsing, data enrichment, and ETL (Extract, Transform, Load) processes.

- Advanced troubleshooting and performance tuning skills.

- Familiarity with log management, monitoring, and alerting tools beyond the ELK Stack (e.g., Prometheus, Grafana).

- Excellent problem-solving and debugging skills.

- Strong communication and collaboration skills.

Preferred Qualifications :

- Certification in ELK Stack administration or development.

- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).

- Knowledge of NoSQL databases (e.g. MongoDB, Cassandra).

(ref:hirist.tech)

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