Elasticsearch Developer

Job Description:As an Elasticsearch Developer, you will be responsible for developing and maintaining robust, scalable, and efficient search solutions using Elasticsearch. You will play a key role in designing, implementing, and optimizing Elasticsearch-based applications to ensure high performance, reliability, and usability. Responsibilities:Designing, developing, and deploying Elasticsearch-based solutions for efficient search and indexing capabilities.Collaborating with cross-functional teams to understand project requirements and implement appropriate Elasticsearch strategies.Optimizing search performance by fine-tuning Elasticsearch clusters, indexing, and query execution.Creating and managing Elasticsearch indices, mappings, and data models to support complex search queries and aggregations.Implementing security measures and access controls in Elasticsearch to ensure data integrity and confidentiality.Troubleshooting and resolving issues related to Elasticsearch performance, scalability, and reliability.Developing custom plugins and extensions to enhance Elasticsearch functionalities based on project needs.Working closely with DevOps teams to deploy and manage Elasticsearch clusters in production environments.Staying updated with the latest Elasticsearch features, tools, and best practices to continuously improve system efficiency and performance.Documenting technical designs, configurations, and procedures related to Elasticsearch implementations. Requirements:Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent practical experience).Proven experience as an Elasticsearch Developer or similar role with a strong understanding of Elasticsearch architecture and internals.Proficiency in Elasticsearch query DSL, indexing, data modelling, and performance optimization techniques.Hands-on experience with Elasticsearch clusters, shards, and replicas configuration in a distributed environment.Familiarity with scripting languages (e.g., Python, Bash) for automation and Elasticsearch management tasks.Knowledge of security implementations in Elasticsearch, including role-based access control and encryption methods.Experience in integrating Elasticsearch with other technologies such as Logstash, Kibana, Beats, or other data ingestion tools.Strong problem-solving skills and the ability to troubleshoot and resolve complex Elasticsearch-related issues.Excellent communication skills and the ability to work collaboratively in a team environment.Familiarity with DevOps practices and containerization technologies (e.g., Docker, Kubernetes) is a plus.

Key Skills

• SQL
• Elasticsearch