Knowledge Graph Engineer
IN KA Bengaluru, India
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Author operational runbooks and handoff documentation
- Build idempotent batch ETL pipelines into graph database
- Define retrieval quality benchmarks and produce validation reports
- Design concept linking logic with provenance
- Develop and validate data ingestion pipelines with streaming support
- Expose graph access patterns as MCP tools
- Implement graph schemas and provenance attributes
- Ingest structured data from FHIR APIs and ontology datasets
- Manage schema versioning and schema evolution
- Tune graph query performance for latency and concurrency
- Write and optimize graph queries for production access patterns
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | Access Control | Airflow | Amazon Kinesis | Amazon Neptune | Apache Beam | Apache Dataflow | Apache Spark | Audit Logging | Cosmos DB | Cypher | Data provenance | ETL | Entity modeling | FHIR APIs | Google Spanner | Graph Database | Graph Query | Graph query optimization | Gremlin | IAM | Idempotent Processing | Infrastructure as Code | Kafka | Knowledge graph | Neo4j | Ontology | Pub/Sub | Python | Query Optimization | REST APIs | Relationship typing | Retrieval evaluation | SPARQL | Schema evolution | Schema versioning | Secrets management | Stardog | Terraform | TigerGraph | “as-code”
Education
N/A
Roles
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