Roles & Responsibilities
- Responsible for designing implementing and optimizing enterprise search solutions and managing Elasticsearch clusters to ensure high availability scalability and relevance.
- Architect and maintain self-hosted Elasticsearch clusters including node configuration replication and sharding strategies.
- Implement backup and recovery processes for Elastic indices.
- Develop and optimize semantic search capabilities using machine learning models (e.g. BERT-based ELSER).
- Enhance search relevancy through role-based indexing and boosting strategies.
- Collaborate with cross-functional teams to integrate Elastic with knowledge management tools and improve user experience.
- Monitor cluster performance and apply best practices for scalability and observability.
Qualifications
Required Experience & Education:
- 5 - 8 years of relevant Data Engineering Experience.
- Elasticsearch administration and performance tuning.
- Search relevancy algorithms and semantic search.
- Data backup and disaster recovery in Elastic.
- Python/Java for Elastic API integrations.
- Familiarity with knowledge graph and metadata enrichment.
Required Skills:
- Elasticsearch Python/Java for Elastic API integrations Pyspark Cloud Experience (AWS/Azure)
Preferred Skills Experience & Education:
- graph and metadata enrichment
Required Skills:
Elasticsearch Pyspark Cloud Experience (AWS/Azure)python/djangojavaelasticsearch
Roles & ResponsibilitiesResponsible for designing implementing and optimizing enterprise search solutions and managing Elasticsearch clusters to ensure high availability scalability and relevance.Architect and maintain self-hosted Elasticsearch clusters including node configuration replication and s...
Roles & Responsibilities
- Responsible for designing implementing and optimizing enterprise search solutions and managing Elasticsearch clusters to ensure high availability scalability and relevance.
- Architect and maintain self-hosted Elasticsearch clusters including node configuration replication and sharding strategies.
- Implement backup and recovery processes for Elastic indices.
- Develop and optimize semantic search capabilities using machine learning models (e.g. BERT-based ELSER).
- Enhance search relevancy through role-based indexing and boosting strategies.
- Collaborate with cross-functional teams to integrate Elastic with knowledge management tools and improve user experience.
- Monitor cluster performance and apply best practices for scalability and observability.
Qualifications
Required Experience & Education:
- 5 - 8 years of relevant Data Engineering Experience.
- Elasticsearch administration and performance tuning.
- Search relevancy algorithms and semantic search.
- Data backup and disaster recovery in Elastic.
- Python/Java for Elastic API integrations.
- Familiarity with knowledge graph and metadata enrichment.
Required Skills:
- Elasticsearch Python/Java for Elastic API integrations Pyspark Cloud Experience (AWS/Azure)
Preferred Skills Experience & Education:
- graph and metadata enrichment
Required Skills:
Elasticsearch Pyspark Cloud Experience (AWS/Azure)python/djangojavaelasticsearch
View more
View less