The Expertise You Have

• Experience in designing and implementing graph data models that capture complex relationships, ensuring efficient querying and traversal.
• Experience with developing applications with Python. Integrate graph data from various sources internal and external.
• Experience with graph database query languages (e.g. SPARQL, Gremlin, Cypher etc).
• Required proficiency in graph databases (e.g., Graphdb, Neo4j, Amazon Neptune, JanusGraph).
• Hands on experience working with LPG/RDF.
• Manage graph databases.
• Experience with graph algorithms and graph-based machine learning.
• Experience with AWS infrastructure (S3, CFTs, EC2), security and data and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and/or practical experience.
• Experience in working in Model development and deployment lifecycle using ML infrastructure and MLOps in the Cloud (AWS preferred).
• Superior SQL skills and experience developing data transformation pipelines multiple database platforms
• Bachelor's or master's degree in computer science, Data Science, or related field.