Elastic Search

2 - 4 years

3 - 7 Lacs

Posted:2 days ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Elasticsearch Engineer

Key Responsibilities

  • Design, deploy, and manage

    Elasticsearch clusters

    for high availability, scalability, and performance.
  • Develop and optimize

    Elasticsearch queries, aggregations, and mappings

    to meet complex search and analytical requirements.
  • Implement and configure

    data ingestion pipelines

    using tools like

    Logstash, Beats, and Kafka

    to feed data into Elasticsearch.
  • Integrate Elasticsearch with various applications and data sources, ensuring efficient data indexing and retrieval.
  • Monitor Elasticsearch cluster health, performance, and resource utilization, performing proactive tuning and troubleshooting.
  • Develop and maintain custom Elasticsearch plugins, scripts, or solutions as needed.
  • Collaborate with development teams, data engineers, and analysts to define indexing strategies and optimize search relevance.

Qualifications

  • Proven experience as an

    Elasticsearch Engineer

    or a similar role focused on search platforms.

Skills Required:

  • Strong hands-on experience with Elasticsearch

    (versions 7.x/8.x), including cluster administration, indexing, querying, and aggregation.
  • Proficiency in using

    Kibana

    for data visualization, dashboard creation, and monitoring.
  • Experience with

    data ingestion tools

    such as

    Logstash and Beats

    .
  • Solid understanding of

    RESTful APIs

    and integrating with Elasticsearch programmatically.
  • Familiarity with database concepts and distributed systems.
  • Proficiency in at least one scripting language (e.g., Python) for automation.
  • Strong analytical, problem-solving, and debugging skills for complex search issues.

Preferred Skills:

  • Experience with

    Kafka

    for real-time data streaming into Elasticsearch.
  • Knowledge of

    cloud platforms (e.g., AWS, Azure, GCP)

    and their managed Elasticsearch services (e.g., Amazon OpenSearch Service).
  • Familiarity with

    Elastic Stack components

    like APM, Security, and Machine Learning.
  • Experience with performance tuning and capacity planning for large Elasticsearch clusters.

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