Elasticsearch Developer - Bengaluru, India - LTIMindtree

    LTIMindtree
    LTIMindtree Bengaluru, India

    Found in: Appcast Linkedin IN C2 - 1 week ago

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    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.

    • 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.

    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.