Data Engineer
New Jersey - hybrid
We are looking for a candidate with Ontology / Graph knowledge. Preferable experience with RDFox, AWS Neptune, OWL, RDF, SPARQL, AWS Lambda, AWS S3. Desirable to have someone who knows FIBO Ontology and has experience in the financial services domain.
The candidate should be able to build a three dimensional knowledge graph using RDF/OWL, build reasoning rules and perform data analysis. Essential Skills/Basic Qualifications:

• Bachelors or Master's Degree in Computer Science / Information Technology
• Deep experience with graph modelling techniques and toolsets
• Experience working with knowledge graphs stores (RDFox, AWS Neptune, Stardog, TigerGraph, Ontotext GraphDB, Neo4j) and surrounding semantic technology (OWL, RDF, SWRL, SPARQL, JSON-LD)
• Comfort and ideally substantial experience operating big data infrastructure in a cloud-based ecosystem (AWS preferred)
• Experience with stream-processing systems (Kafka, Spark Streaming, Apache Beam/Flink, etc.)
• Strong algorithms, data structures, and coding background with either Java or C# programming experience
• Deep understanding of the theoretical and practical trade-offs of various NoSQL stores (Cassandra, Elasticsearch, DynamoDB, etc.) with respect to different read/write patterns and availability/consistency requirements

Desirable skills/Preferred Qualifications:

• Experience with Cloud platforms (AWS, Google)
• Experience with Hive, Impala, Sqoop, AWS Lambda, AWS S3, FIBO Ontology
• Experience in the financial services domain, preferably in Trade Processing or Middle Office applications.
• Understanding of OTC and Listed Derivatives/Futures, execution and clearing processing