
Senior Elasticsearch Developer
4 weeks ago
We are seeking a highly skilled Senior Elasticsearch Developer to join our team at Wipro. As an expert in building, managing, and optimizing Elasticsearch clusters, you will be responsible for designing and implementing high-performance, scalable, and resilient search solutions.
Key Responsibilities:
- Design, configure, and maintain Elasticsearch clusters for performance, availability, and scalability.
- Set up monitoring and alerting for Elasticsearch performance and health.
- Perform regular index management, optimization, and tuning for query performance.
- Design and implement indexing strategies and data pipelines for structured and unstructured data.
- Develop and optimize Elasticsearch queries for performance and relevancy.
- Implement techniques such as sharding, replication, and re-indexing to optimize search performance.
- Work with engineering teams to integrate Elasticsearch into web applications, APIs, and data services.
- Design and implement full-text search, fuzzy search, and autocomplete functionalities.
- Ensure seamless integration of Elasticsearch with various backend services.
- Implement security protocols, such as SSL/TLS, user authentication, and role-based access control (RBAC).
- Perform upgrades, backups, and recovery operations for Elasticsearch clusters.
- Collaborate with data engineers, backend developers, and DevOps teams to deliver search solutions that align with the business needs.
Requirements:
- 6+ years of hands-on experience with Elasticsearch and the Elastic Stack (ELK) - Elasticsearch, Logstash, Kibana, and Beats.
- Strong understanding of Elasticsearch architecture, APIs, query DSL, and index lifecycle management.
- Experience in integrating Elasticsearch with web applications and/or microservices architecture.
- Proficient in designing and optimizing Elasticsearch indexes for high-volume, real-time data search.
- Strong knowledge of sharding, replication, and scaling Elasticsearch clusters.
- Proficiency in creating complex queries, aggregations, and filtering using the Elasticsearch Query DSL.
- Familiarity with monitoring tools (e.g., Kibana, Prometheus, Grafana) for analyzing cluster health and performance.
- Experience with data pipelines and ETL processes involving Elasticsearch, Logstash, and Beats.
- Knowledge of data security best practices, including securing Elasticsearch clusters.
- Proficient in one or more programming languages such as Java, Python, or Node.js for integrating Elasticsearch into applications.
- Familiarity with RESTful APIs and microservices architectures.
Estimated Salary: ₹ 25,00,000 per annum, depending on location and experience.
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