Jobs at Wissen Technology (Now Hiring) — 25 open — Page 2

Wissen Technology is hiring for Knowledge Graph Engineer 

About Wissen Technology:  

At Wissen Technology, we deliver niche, custom-built products that solve complex business challenges across industries worldwide. Founded in 2015, our core philosophy is built around a strong product engineering mindset—ensuring every solution is architected and delivered right the first time. Today, Wissen Technology has a global footprint with 2000+ employees across offices in the US, UK, UAE, India, and Australia. Our commitment to excellence translates into delivering 2X impact compared to traditional service providers. How do we achieve this? Through a combination of deep domain knowledge, cutting-edge technology expertise, and a relentless focus on quality. We don’t just meet expectations—we exceed them by ensuring faster time-to-market, reduced rework, and greater alignment with client objectives. We have a proven track record of building mission-critical systems across industries, including financial services, healthcare, retail, manufacturing, and more. Wissen stands apart through its unique delivery models. Our outcome-based projects ensure predictable costs and timelines, while our agile pods provide clients with the flexibility to adapt to their evolving business needs. Wissen leverages its thought leadership and technology prowess to drive superior business outcomes. Our success is powered by top-tier talent.  Our mission is clear: to be the partner of choice for building world-class custom products that deliver exceptional impact—the first time, every time. 

Job Summary: 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. 

Key Responsibilities: 

• 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. 
   
  

Required Skills and Qualification 

• 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.  
  

Good to have Skills 

• Experience with reasoners such as HermiT or ELK. 
  
• Exposure to text‑to‑graph extraction, NLP‑assisted data modeling, or knowledge fusion.