Elasticsearch Solutions Architect
4 weeks ago
About the Role
We are seeking a skilled Elasticsearch Developer to join our team at Wipro. As an Elasticsearch Solutions Architect, you will be responsible for designing and implementing high-performance, scalable, and resilient search solutions using Elasticsearch.
Key Responsibilities:
- Elasticsearch Cluster Management
- 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.
- Ensure the security of Elasticsearch clusters and data.
- Collaborate with data engineers, backend developers, and DevOps teams to deliver search solutions that align with the business needs.
- Maintain comprehensive documentation of the Elasticsearch environment, including architecture, configurations, and operations.
Requirements
To be successful in this role, you should have 6+ years of hands-on experience with Elasticsearch and the Elastic Stack (ELK). You should also have strong understanding of Elasticsearch architecture, APIs, query DSL, and index lifecycle management.
The ideal candidate will have experience in integrating Elasticsearch with web applications and/or microservices architecture. Proficiency in designing and optimizing Elasticsearch indexes for high-volume, real-time data search is also required.
You should have strong knowledge of sharding, replication, and scaling Elasticsearch clusters. Familiarity with monitoring tools, such as Kibana, Prometheus, Grafana, for analyzing cluster health and performance is also necessary.
Apart from technical skills, excellent problem-solving and analytical skills, ability to work collaboratively in cross-functional teams, and excellent communication and documentation skills are essential for this role.
Salary Estimate
Based on industry standards and location, we estimate the salary for this role to be around ₹1,200,000 - ₹1,800,000 per annum.
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