Backend Engineer

• Design, implement, and maintain scalable data pipelines using ELK Stack (Elasticsearch, Logstash, Kibana) and Beats for monitoring and analytics
• Develop data processing workflows to handle real-time and batch data ingestion, transformation and visualization
• Implement techniques like grok patterns, regular expressions, and plugins to handle complex log formats and structures
• Configure and optimize Elasticsearch clusters for efficient indexing, searching, and performance tuning
• Collaborate with business users to understand their data integration & visualization needs and translate them into technical solutions
• Create dynamic and interactive dashboards in Kibana for data visualization and insights that can enable to detect the root cause of the issue
• Leverage open-source tools such as Beats and Python to integrate and process data from multiple sources
• Collaborate with cross-functional teams to implement ITSM solutions integrating ELK with tools like ServiceNow and other ITSM platforms
• Anomaly detection using Elastic ML and create alerts using Watcher functionality
• Extract data by Python programming using API
• Build and deploy solutions in containerized environments using Kubernetes
• Monitor Elasticsearch clusters for health, performance, and resource utilization
• Automate routine tasks and data workflows using scripting languages such as Python or shell scripting
• Provide technical expertise in troubleshooting, debugging, and resolving complex data and system issues
• Create and maintain technical documentation, including system diagrams, deployment procedures, and troubleshooting guides

Data Engineer, Elastic, Python

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