Graph Engineer, Data Context Layer
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Build data ingestion pipelines
- Build knowledge graph solutions
- Create semantic structures for enterprise context
- Design graph data structures
- Ensure graph assets are governed and secure
- Evaluate graph and semantic technologies
- Expose graph data via APIs
- Implement lineage and operational monitoring
- Model entities and relationships
- Optimize graph performance and query patterns
- Support graph validation and versioning
- Support prompt based context delivery
- Transform and enrich graph data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS Step Functions | Agentic AI | Amazon Athena | Amazon CloudWatch | Amazon DynamoDB | Amazon Neptune | Amazon Redshift | Amazon S3 | Amazon Web Services | CI/CD | Context engineering | Data Enrichment | Data Ingestion | Data Management | Data Pipelines | Data Transformation | Data Validation | Entity Relationship Modeling | Entity relationship | Graph Databases | Graph Query | Graph query optimization | Knowledge graph | Master Data | Master Data Management | Metadata Management | OWL | Observability | Ontology | Prompt engineering | Query Optimization | RDF | Relationship Modeling | SPARQL | Semantic Web | Step Functions | Web Services
Education
N/A
Roles
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