- Expertise in creating Index templates, Component templates, Index Mapping and ILM Policies.
- Ingest Pipelines and Pipeline to Pipeline configurations.
- Logstash Pipelines configurations.
- Good hands-on experience in ingest processors.
- Painless scripting.
- Expertise in creating advance watchers.
Elasticsearch Developer - Bengaluru, India - LTIMindtree
Description
Must Have Skills(Primary Skills):
· Elasticsearch Development (Preferred Elastic Cloud)
· Strong knowledge of Elastic Stack, including Elasticsearch, Logstash, Kibana, and Beats
· Experience in creating and managing Watcher alerts to detect anomalies and trigger automated actions.
· Proficiency in creating visualizations in Kibana to represent data in a meaningful and actionable way.
· Knowledge of creating and managing Kibana alerts rules to trigger notifications when certain conditions are met.
· Expertise in implementing Role-Based Access Control (RBAC) to manage user access to data and features in the Elastic deployment.
· Familiarity with scripting languages such as Python, Java, or JavaScript to customize Elastic Stack functionalities.
Role Description:
· Support and optimize Watcher alerts to detect and respond to anomalies in PG systems.
· Develop Kibana alerts to notify users when specific events occur, or thresholds are exceeded.
· Implement RBAC to manage user access to data and features in the Elastic Stack, ensuring data security and compliance.
· Collaborate with cross-functional teams, including developers, data scientists, and business stakeholders, to identify data requirements and create solutions for business needs.
· Create, Monitor, and optimize Elastic pipelines to transform data, troubleshoot issues, and identify improvement areas.
· Create visualizations in Kibana to represent data in a clear and actionable format, enabling stakeholders to make informed decisions.
· Design and implement highly scalable ELK (Elasticsearch, Logstash, and Kibana) stack and ElastiCache solutions.
· Capable of doing the configurations for new onboardings.
· Experience in architecting data structures using Elasticsearch and ElastiCache.
· Fine tune bulk load and index building process.
· Build reports using APIs that leverage Elasticsearch and ElastiCache.
· Good experience in query languages and writing complex queries with joins that deals with a large amount of data.
· Experience in end-to-end Low-level design, development, administration, and delivery of ELK based reporting solutions.
· Support various customers with large enterprise deployments of Elasticsearch. Provide troubleshooting support as needed for Elastic deployments at system or software level.
· Configure, maintain, and troubleshoot Elastic environments and sites on GCP infrastructure. Facilitate integration with data sources and applications.
Good To have Skills:
Any certifications on Elastic search.