📋 Description

• Own the graph data layer, from schema design and ingestion to entity resolution and query
• Design and maintain graph schemas with node labels and edge types for designers, garments, style
• Build batch ingestion workflows for JSON payloads to load entities and relationships into the graph
• Develop entity resolution to match product mentions across catalogs of 50k+ SKUs using scoring and
• Set relationship weights to influence AI-generated recommendations and ranking.
• Optimize openCypher queries (multi-hop traversals) for sub-3-second response times for downstream

🎯 Requirements

• Advanced English proficiency (C1+) for international collaboration.
• Experience with Amazon Neptune and property graph data modeling.
• Strong openCypher skills including multi-hop traversals under latency constraints.
• Experience designing graph schemas and evaluating modeling trade-offs.
• Hands-on entity resolution, fuzzy matching, scoring, and deduplication across data sources.
• Strong Python for data engineering and batch processing of structured data.

🎁 Benefits

• Health and dental insurance.
• Meal and food allowances.
• Childcare assistance.
• Extended paternity leave.
• Access to gyms and wellness resources.
• Profit Sharing and Results Participation (PLR).