Master Data Developer, Amazon Neptune

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đŸ”„ 15 minutes ago

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Logo of CI&T

CI&T

5001 - 10000 employees

Founded 1995

đŸ’Œ Consulting

đŸ„ Healthcare

📣 Marketing

💰 $5.5M Venture Round on 2014-04

Consulting ‱ Healthcare ‱ Marketing

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

📋 Description

‱ Design graph schemas with node labels and edge types representing designers, garments, style attributes, trends, occasions, and editorial articles ‱ Build batch workflows to ingest structured JSON payloads into Amazon Neptune ‱ Implement probabilistic entity matching using attribute-overlap scoring and confidence thresholds ‱ Deduplicate items appearing inconsistently across different articles ‱ Weight editorial relationships according to the prominence of item or trend mentions ‱ Design and optimize openCypher traversal queries, including multi-hop queries, to return results in under three seconds for Amazon Bedrock Agents ‱ Collaborate with Machine Learning and GenAI Agent Developers to align graph structure with AI-agent retrieval and recommendation needs ‱ Support technical interviews and validation of new graph-workstream team members as needed

🎯 Requirements

‱ Advanced English proficiency (C1 or above), with autonomy to communicate directly with international stakeholders ‱ Solid experience with Amazon Neptune and the property graph data model ‱ Experience writing and optimizing openCypher queries, including multi-hop traversals under latency constraints ‱ Experience designing graph schemas and evaluating trade-offs between modeling approaches ‱ Experience building entity resolution logic, including fuzzy matching, scoring algorithms, and deduplication across data sources ‱ Strong Python skills for data engineering and batch processing of structured data payloads ‱ Ability to work independently in a fast-paced, staff augmentation setting with an established client team ‱ Prior experience in fashion, retail, or e-commerce catalogs (nice to have) ‱ AWS certification in databases or data analytics (nice to have) ‱ Experience integrating graph databases with generative AI agents, such as Amazon Bedrock Agents (nice to have) ‱ Familiarity with recommendation systems or ranking/weighting logic for content surfacing (nice to have)

đŸ–ïž Benefits

‱ Health and dental insurance ‱ Meal and food allowance ‱ Childcare assistance ‱ Extended paternity leave ‱ Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass ‱ Profit Sharing and Results Participation (PLR) ‱ Life insurance ‱ Continuous learning platform (CI&T University) ‱ Discount club ‱ Free online platform dedicated to physical, mental, and overall well-being ‱ Pregnancy and responsible parenting course ‱ Partnerships with online learning platforms ‱ Language learning platform ‱ Health and Well-being team, inclusion specialists, and affinity groups ‱ Support and accommodations for people with disabilities ‱ Support obtaining a disability assessment if needed

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