Data Science Consultant

Beschreibung

Data models for Property-Graph databases e.g. Neo4j or Cosmos DB
Master, Reference and Metadata Management, Data Quality, Integration, Interoperability
Query Languages for Property-Graph or Knowledge-Graph, NoSQL, and Relational databases e.g. SQL, GraphQL
Data Quality for data ingestion pipelines
Large Data technologies Python or Spark

Data pipelines and features using modern cloud and big data architectures
DevOps tools, and tool-chaining to achieve end-to-end automation
Patterns and best-practices for multi-tiered distributed applications, and Multi-Cloud environment