Senior Test Engineer

2 days ago

Maharashtra NA Navi Mumbai Airoli India India Data Engineering Full time ₹ 6,00,000 - ₹ 12,00,000 per year
Looking for an enthusiastic and talented Elastic Search Engineer with 1-3 years of hands-on experience with Elasticsearch and is eager to work in a fast-paced environment, contributing to the management, optimization, and scaling of our Elasticsearch infrastructure.

Key Responsibilities:
- Elasticsearch Setup & Management:
Install, configure, and manage Elasticsearch clusters (version 8.x), ensuring high availability and performance.
- Data Ingestion & Indexing:
Assist in the configuration and optimization of data ingest pipelines, index mappings, and document indexing from across various multiple data sources.
- Query Optimization:
Design and implement efficient queries, aggregations, and filters to ensure optimal search performance.
- Kibana Dashboards:
Work with Kibana to design and manage dashboards, visualizations, and reporting for various use cases.
- Data Management:
Monitor and analyze data from various sources being ingested into Elasticsearch clusters, troubleshoot issues, and ensure cluster health.
- Collaboration:
Collaborate with development teams to ensure proper integration of Elasticsearch with applications.
- Cluster Monitoring & Performance Tuning:
Monitor Elasticsearch cluster health, optimize queries, and provide insights to improve performance.
- Documentation:
Maintain clear and concise documentation for Elasticsearch setup, configurations, and processes.
- Version Upgrade:
Assist in upgrading and maintaining Elasticsearch clusters and tools to the latest 8.x versions.
- Troubleshooting:
Identify and resolve performance issues, data inconsistencies, and errors in the Elasticsearch environment.

Required Skills:
- Experience:
1-3 years of hands-on experience with Elasticsearch, specifically with version 8.x.
- Elasticsearch Basics:
Good understanding of Elasticsearch core concepts including nodes, clusters, indices, and shards.
- Data Modeling:
Familiarity with defining index mappings, custom analyzers, and understanding of how to

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