Senior Elastic Search/Open Search Developer

Role Overview: You will be responsible for developing complex data ingestion, analysis, and visualization pipelines from various data sources. You will work on enabling API-based data consumption from Elasticsearch to external applications and writing efficient queries for data extraction and visualization. Additionally, you will be involved in designing and developing data-quality improvement methods and scripts to enhance data completeness, currency, accuracy, and availability. Key Responsibilities: - Develop complex data ingestion pipelines. - Implement data-quality improvement methods. - Enable API-based data consumption. - Design and develop scripts for data ingestion and quality improvement. - Write efficient queries for data extraction and visualization. - Build reports using Elasticsearch APIs. - Refactor ElasticSearch for search engine optimization. - Implement solutions using Node. JS, Redis, PostgreSQL. - Work with large, varying data sets for qualitative and quantitative analysis. - Collaborate with cross-functional teams to ensure data accuracy and availability. - Ensure high availability and performance of Elasticsearch environments. - Monitor and troubleshoot Elasticsearch issues. Qualification Required: - Strong knowledge of advanced search queries and features using the ELK stack. - Experience implementing solutions with technologies like Node. JS, Redis, PostgreSQL. - Understanding of Elasticsearch index configuration options. - Ability to develop data ingestion scripts and data-quality improvement methods. - Proficiency in writing efficient queries for data extraction and visualization. - Familiarity with building reports using APIs that leverage Elasticsearch. - Experience in designing and developing data ingestion pipelines from custom data sources. Role Overview: You will be responsible for developing complex data ingestion, analysis, and visualization pipelines from various data sources. You will work on enabling API-based data consumption from Elasticsearch to external applications and writing efficient queries for data extraction and visualization. Additionally, you will be involved in designing and developing data-quality improvement methods and scripts to enhance data completeness, currency, accuracy, and availability. Key Responsibilities: - Develop complex data ingestion pipelines. - Implement data-quality improvement methods. - Enable API-based data consumption. - Design and develop scripts for data ingestion and quality improvement. - Write efficient queries for data extraction and visualization. - Build reports using Elasticsearch APIs. - Refactor ElasticSearch for search engine optimization. - Implement solutions using Node. JS, Redis, PostgreSQL. - Work with large, varying data sets for qualitative and quantitative analysis. - Collaborate with cross-functional teams to ensure data accuracy and availability. - Ensure high availability and performance of Elasticsearch environments. - Monitor and troubleshoot Elasticsearch issues. Qualification Required: - Strong knowledge of advanced search queries and features using the ELK stack. - Experience implementing solutions with technologies like Node. JS, Redis, PostgreSQL. - Understanding of Elasticsearch index configuration options. - Ability to develop data ingestion scripts and data-quality improvement methods. - Proficiency in writing efficient queries for data extraction and visualization. - Familiarity with building reports using APIs that leverage Elasticsearch. - Experience in designing and developing data ingestion pipelines from custom data sources.