Graph RAG / Amazon Neptune Data Engineer

Amazon Neptune Graph Database, SPARQL

Data Engineering / ETL Pipelines

Graph RAG

Gen AI integration

Python Backend API Development

Education, bachelor's or master's degree in computer science, Data Science, Information Architecture, or a related field.

Graph Databases Extensive hands-on experience designing and managing production scale instances of Amazon Neptune.

Graph languages, specifically Gremlin or SPARQL.

Programming Advanced production coding in Python or JVM environments in Java, Scala.

Cloud Infrastructure Strong proficiency with AWS Services e.g., AWS S3, Amazon RDS, Amazon ECS