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Wissen Technology is hiring for Knowledge Graph Engineer. Wissen Technology is a niche, custom-built products company solving complex business challenges across industries worldwide. Founded in 2015, with 2000+ employees across offices in the US, UK, UAE, India, and Australia. We are seeking an experienced Knowledge Graph Engineer (4–8 years) to design and implement enterprise‑scale knowledge graphs that unify data across domains such as iShield, TPAD, COC, and TPPM. The ideal candidate will have strong hands‑on expertise in graph technologies (RDF/OWL or Property Graph), ontology and schema design, data engineering pipelines, and performance optimization. This role focuses on building ingestion pipelines, optimizing graph queries, and exposing graph‑derived datasets to downstream systems such as Snowflake, Power BI, and DataZone.
Job Responsibility:
Design and implement enterprise knowledge graphs across multiple business domains
Build ingestion pipelines to instantiate entities, relationships, and semantic constraints
Optimize graph queries, indexing, labeling strategies, and reasoning workflows
Publish graph‑derived datasets to Snowflake, Power BI, and DataZone
Productionize reusable graph query packs for analytics and data consumers
Implement ontology/schema design, identity resolution, and relationship modeling
Work with batch/streaming ETL pipelines using Python, Spark/Lightning, APIs, and structured formats (JSON/CSV/Parquet)
Ensure performance, observability, and monitoring for graph workloads
Package datasets for secure consumption with proper AuthN/Z and row/column‑level controls
Collaborate with engineering, data, and platform teams to integrate graph systems into enterprise workflows
Requirements:
Graph Technologies: Strong hands‑on experience with RDF/OWL/SPARQL or Property Graph (Neo4j/TinkerPop) ecosystems
Proficiency with Cypher, Gremlin, and graph databases like GraphDB, Fuseki, Neptune, Neo4j
Modeling & Semantics: Expertise in ontology design, schema modeling, SHACL/SHEX constraints, and identity resolution
Strong understanding of relationship modeling and semantic structures
Data Engineering: Python programming
Spark/Lightning ETL
REST APIs
Experience working with JSON, CSV, Parquet, and CI/CD pipelines
Experience with batch and streaming data ingestion
Performance & Operations: Hands-on experience in query tuning, indexing, caching, and observability/monitoring
Understanding of enterprise‑grade deployments and optimization workflows
Integration: Ability to publish graph slices to Snowflake, and prepare datasets for DataZone including row/column‑level security
Work Experience Min: 4
Work Experience Max: 8
Nice to have:
Experience with reasoners such as HermiT or ELK
Exposure to text‑to‑graph extraction, NLP‑assisted data modeling, or knowledge fusion