Graph data Engineer required for a complex Supplier Chain Project.

 

Key required Skills

• Graph data modelling (Experience with graph data models (LPG, RDF) and graph language (Cypher), exposure to various graph data modelling techniques)
• Experience with neo4j Aura, Optimizing complex queries.
• Experience with GCP stacks like BigQuery, GCS, Dataproc. Experience in PySpark, SparkSQL is desirable.
• Experience in exposing Graph data to visualisation tools such as Neo Dash, Tableau and PowerBI

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 data solutions in Graph DB space.
• Hands-on experience with graph databases (Neo4j(Preferred), or any other).
• Experience Tuning Graph databases.
• Understanding of graph data model paradigms (LPG, RDF) and graph language, hands-on experience with Cypher is required.
• Solid understanding of graph data modelling, graph schema development, graph data design.
• Relational databases experience, hands-on SQL experience is required.

Desirable (Optional) skills:

• Data ingestion technologies (ETL/ELT), Messaging/Streaming Technologies (GCP data fusion, Kinesis/Kafka), API and in-memory technologies.
• Understanding of developing highly scalable distributed systems using Open-source technologies.
• Experience in Supply Chain Data is desirable but not essential.

Location: Pune, Mumbai, Chennai, Bangalore, Hyderabad