Master Data Developer (Amazon Neptune)

Accountabilities:

• • Design and maintain graph schemas, defining node labels and edge types that accurately represent relationships among designers, garments, style attributes, trends, occasions, and editorial content.
  • Build batch ingestion workflows that consume structured JSON payloads and load relevant entities and relationships into the graph database.
  • Develop entity resolution processes to match extracted product mentions with the appropriate products across catalogs containing 50,000+ SKUs, using attribute scoring, confidence thresholds, and deduplication techniques.
  • Establish relationship weights based on the prominence of products or trends within editorial content, helping determine ranking and prioritization in AI-generated recommendations.
  • Develop, optimize, and maintain openCypher queries, including multi-hop traversals, with a focus on achieving response times below three seconds for downstream AI agents.
  • Collaborate with machine learning and generative AI specialists to align the graph structure, retrieval capabilities, and data models with recommendation requirements.
  • Contribute to technical validation and interviews for new professionals joining the graph database workstream when required.

  Requirements:

  • Advanced English proficiency at C1 level or above, with the ability to communicate autonomously with international stakeholders.
  • Solid professional experience with Amazon Neptune and property graph data modeling.
  • Strong experience writing and optimizing openCypher queries, including multi-hop traversals under latency constraints.
  • Experience designing graph schemas and evaluating trade-offs between alternative modeling approaches.
  • Hands-on experience developing entity resolution solutions, including fuzzy matching, scoring algorithms, and deduplication across multiple data sources.
  • Strong Python skills applied to data engineering and batch processing of structured data.
  • Ability to work independently, take ownership of technical deliverables, and operate effectively in a fast-paced staff augmentation environment.
  • Experience in fashion, retail, or e-commerce catalogs is considered a plus.
  • AWS certification in databases or data analytics is desirable.
  • Experience integrating graph databases with generative AI agents, such as Amazon Bedrock Agents, is an advantage.
  • Familiarity with recommendation systems or ranking and weighting logic for content surfacing is a plus.

  Benefits:

  • Health and dental insurance.
  • Meal and food allowances.
  • Childcare assistance.
  • Extended paternity leave.
  • Access to gyms and health and wellness professionals through Wellhub/Gympass and TotalPass partnerships.
  • Profit Sharing and Results Participation (PLR).
  • Life insurance.
  • Continuous learning through an internal learning platform.
  • Partnerships with online learning platforms.
  • Language learning platform.
  • Employee discount club.
  • Free online resources focused on physical, mental, and overall well-being.
  • Pregnancy and responsible parenting courses.
  • Remote work model with the flexibility associated with a home-office environment.
  • Dedicated health, well-being, and inclusion support throughout the employee journey.
  • Inclusion specialists and affinity groups to help foster an accessible and supportive workplace.