Job Description: Elastic Search Developer in Odisha
| Position | Elastic Search Developer |
| Location | Odisha, India |
| Job Type | Full-time |
| Experience | 2-5 years (Intermediate to Senior level)This table format clearly organizes the preferred skills for the Elastic Search Developer role. |
Overview:
As an Elastic Search Developer, you will be a part of a dynamic and innovative team focused on building, optimizing, and maintaining scalable search solutions using Elastic Stack technologies. The role requires someone with a solid background in Elastic Search, data indexing, distributed search processing, and search algorithms to help develop robust search platforms for various applications. In addition to technical skills, the role demands a high level of problem-solving ability and a strong grasp of data management and performance optimization techniques.
The ideal candidate will be expected to collaborate with software engineers, data scientists, and other stakeholders to deliver cutting-edge search solutions that can handle large-scale data efficiently. They should have a passion for search technologies, a strong desire to innovate, and the ability to balance practical solutions with modern, scalable architecture.
Responsibilities:
Design, Develop, and Optimize Search Solutions:
You will design and implement highly scalable search architectures and systems utilizing the Elastic Stack (Elastic Search, Logstash, Kibana, Beats). You will ensure these systems meet performance, scalability, and resilience requirements while maintaining the accuracy of search results.
Indexing and Querying Data:
Develop and implement strategies for efficient data indexing and querying in Elastic Search, focusing on optimizing the speed and accuracy of search responses. This includes working with different data formats (structured, semi-structured, unstructured) and ensuring data integrity across the entire pipeline.
Data Mapping and Schema Design:
Work on data modeling, defining the right schema for various data sources, and ensuring that the Elastic Search mappings are optimized for fast searches and low storage overhead. You will be required to manage data mappings and design schema tailored to the project’s specific needs.
Performance Tuning and Optimization:
Constantly work on improving the performance of the Elastic Search cluster by optimizing query execution, data indexing, and storage techniques. Troubleshooting slow queries and latency issues to ensure system stability and high performance is a key part of this role.
Cluster Management and Monitoring:
Deploy, configure, and manage Elastic Search clusters, ensuring their health and availability. You will be responsible for maintaining cluster stability, monitoring usage patterns, addressing scaling issues, and proactively identifying potential bottlenecks.
Security and Authentication Management:
Implement robust security protocols for Elastic Search clusters, including securing communications, managing user authentication, and applying necessary role-based access controls (RBAC). You will ensure that Elastic Search complies with security best practices, including encryption of sensitive data.
Integrate with Applications:
Develop integration points between Elastic Search and other applications (such as web applications, microservices, data pipelines), ensuring seamless communication and data flow. You will build APIs that interface with Elastic Search, enabling other systems to utilize its search functionalities.
Collaborate with Cross-functional Teams:
Work closely with back-end developers, data scientists, DevOps engineers, and other stakeholders to deliver fully integrated search solutions. You will provide technical leadership and guidance in Elastic Search best practices and ensure alignment with overall project goals.
Data Enrichment and Log Analysis:
Utilize Elastic Search for log and metric analysis. You will build log aggregation and monitoring systems using Logstash, Beats, and Kibana dashboards, enabling teams to gather insights from their application logs and system metrics.
Documentation and Reporting:
Maintain clear and concise documentation of Elastic Search configurations, indexing strategies, and architecture. You will also be responsible for generating reports and providing actionable insights based on search data analytics.
Innovation and Research:
Stay updated on the latest trends and features of the Elastic Stack and search technologies in general. Evaluate new Elastic Search versions, plugins, or technologies that can enhance the existing system’s efficiency and effectiveness.
Handling Multi-Tenant Architecture:
If required, work on creating and maintaining multi-tenant Elastic Search architecture, ensuring that different users or clients have access to isolated data and search capabilities while utilizing the same cluster.
Disaster Recovery and Backup Solutions:
Implement backup, recovery, and failover mechanisms for Elastic Search clusters, ensuring that the system can recover quickly from failures and that no data is lost.
Required Skills:
| Category | Skills |
|---|---|
| Required Skills | |
| Elastic Stack | Deep expertise in Elastic Search, Logstash, Kibana, Beats, with 2-5 years of hands-on experience in production. |
| Programming | Proficiency in Java, Python, or JavaScript to build search algorithms, custom plugins, and handle complex queries. |
| Database Management | Understanding of relational (e.g., MySQL) and non-relational (e.g., MongoDB) databases and their integration with Elastic Search. |
| Search Algorithms | Knowledge of search algorithms, ranking techniques, relevancy tuning, and text analysis (e.g., stemming, tokenization, n-grams). |
| Cluster Management | Experience in managing Elastic Search clusters (scaling, sharding, replication, distributed data handling). |
| Performance Optimization | Skills in query optimization and handling large-scale, real-time search environments. |
| DevOps & Automation | Familiarity with DevOps tools like Docker, Kubernetes, Jenkins, or Ansible for cluster deployment automation. |
| Security Protocols | Experience with SSL/TLS, user authentication, and implementing Role-Based Access Control (RBAC) for cluster security. |
| Version Control | Knowledge of version control systems (e.g., Git) and collaboration tools (e.g., Jira, Confluence). |
Preferred Skills:
| Preferred Skills | Description |
|---|---|
| Machine Learning | Experience with Elastic Search’s Machine Learning module to analyze and detect patterns in data. |
| Cloud Services | Expertise in deploying and managing Elastic Search clusters on cloud platforms (AWS, Azure, GCP). |
| API Integration | Ability to integrate Elastic Search with third-party systems or APIs for real-time data processing. |
| Elastic Search Certification | Relevant certifications in Elastic Search or similar technologies to demonstrate expertise. |
This table format clearly organizes the preferred skills for the Elastic Search Developer role.
Qualifications:
- Bachelor’s Degree in Computer Science, Information Technology, or a related field.
- Relevant certifications in Elastic Search or related technologies are an added advantage.
Why Work with Us?
At our organization, you will have the opportunity to work with a cutting-edge technology stack and tackle complex problems in search and data analysis. We provide a collaborative environment where innovation and knowledge-sharing are encouraged, and where your skills and contributions can directly impact the success of the company.
Join us if you are looking to work on challenging projects, be part of a highly talented and passionate team, and grow your expertise in search technologies!
How to Apply:
Please submit your resume, along with a cover letter detailing your experience with Elastic Search and your most successful search optimization project to [company email.
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