Graph Database Engineer

Title: Graph Database Engineer
Location: 100% Remote

Duration: 12+Months.

Must have skills:
Graph data modelling (Experience with graph data models (LPG, RDF) and graph languages (Cypher, Gremlin, SparQL), exposure to various graph data modelling techniques)
Optimizing complex queries
AWS

The Expertise You Have

• Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.).
• Demonstrable experience in implementing Big data solutions in data analytics space.
• Hands-on experience with graph databases (Neo4j, or any other).
• Experience Tuning Graph databases
• Understanding of graph data model paradigms (LPG, RDF) and graph languages (Gremlin & SparQL are optional), hands-on experience with Cypher is required
• Solid understanding of graph data modeling, graph schema development, graph data design.
• Desirable (Optional) skills:
• Data ingestion technologies (ETL/ELT), Messaging/Streaming Technologies (AWS SQS, Kinesis/Kafka), Relational and NoSQL databases (DynamoDB, EKS, Graph database), API and in-memory technologies.
• Understanding of developing highly scalable distributed systems using Open-source technologies.
• Experience with CI/CD tools (e.g., Jenkins or equivalent), version control (Git), orchestration/DAGs tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent).
• Experience in Agile methodologies (Kanban and SCRUM).