Ability to turn abstract and logical concepts into IT solutions. Lead and deliver usable, integrated and secure solutions day-one
Experience to build, to store, query, analyze and manage highly connected data using native graph storage, native graph processing, graph scalability, high availability, graph clustering, graphs in the cloud (Azure),and integration support.
Apply data engineering expertise, develop and implement data models, database design, query plan and database components, with experience in:
Data models for Property-Graph databases e.g. Cosmos DB or Neo4j
Master, Reference and Metadata Management, Data Quality, Integration, Interoperability
Query Languages for Property-Graph or Knowledge-Graph, NoSQL, and Relational databases e.g. Gremlin, Cypher, SQL, GraphQL
Data Quality for data ingestion pipelines
Large Data technologies Scala or Python or Spark
Participate in design, scoping, implementation, and testing in short agile release cycles
Collaborate with other software engineers, domain experts, and end-users, to build the right solutions that address our business needs
Data pipelines and features using modern cloud and big data architectures
Data modeling and query optimization expertise
Hands-on Cypher/Gremlin scripting skills with query optimization
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