ELK Stack Developer

4 weeks ago

BangalorePune, 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 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.

(ref:hirist.tech)

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