In This Role, You Will Excellent conceptual understanding of Graph Databases, property graphs, modelling, and data ingestion onto these databases
Hands-on exposure to Graph Databases like Neo4J, Amazon Neptune or Dgraph, Janus, Azure COSMOS etc.
Ability to write effective queries with SPARQL or Gremlin or DQL or GSQL or CQL.
Hands on experience in data engineering activities.
Ability to apply graph algorithms to drive insights.
Understanding of NoSQL databases, Graph OLTP and OLAP processes.
Hands-on expertise to model data in form of graph nodes and vertices.
Hands-on exposure to programming and scripting language like Python/Nodejs/Java.
Knowledge of working on cloud platforms like GCP, AWS, Azure etc.
Knowledge and experience of CI-CD tools
It is an added advantage if you have experience in Optimizing graph database designs for capacity planning, performance, and scale or complexity of data and query patterns
Preferred Qualifications Hands-on exposure to Graph Databases like Neo4J, Janus, Azure COSMOS etc..
Understanding of NoSQL databases, Graph OLTP and OLAP processes.
Hands-on expertise to model data in form of graph nodes and vertices.
Hands-on expertise in Cypher and Gremlin query languages
Hands-on exposure to programming and scripting language like Python.
Knowledge of working on cloud platforms like GCP, AWS, Azure etc. Knowledge and experience of Machine Learning
Keyskills: NoSQL neo4j GCP Machine learning Database OLAP Cosmos OLTP Python Capacity planning
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