[Job - 30900] Master Data Developer, Brazil
Quick Summary
Schema Design: Define node labels and edge types that represent the relationships between designers, garments, style attributes, trends, occasions, and editorial articles.
Advanced English proficiency (C1 or above),
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
As CI&T grows its Data & Analytics Center of Excellence, we seek a talented and experienced Graph Database Developer to join a specialized team building an AI-powered fashion advisory platform for a leading client in the fashion and retail industry. This role is central to turning unstructured editorial content into a structured knowledge graph that powers real-time, intelligent style recommendations for end users attending formal events.
The Graph Database Developer will work in a staff augmentation model, integrating with a cross-functional team that includes a Machine Learning Developer and a GenAI Agent Developer. This is a hands-on technical position requiring strong ownership of the graph data layer — from schema design through ingestion, entity resolution, and query performance — with direct impact on what the AI agent recommends to users.
Responsibilities
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Requirements
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Advanced English proficiency (C1 or above), with autonomy to communicate directly with international stakeholders
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Solid experience with the property graph data model
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Experience writing and optimizing openCypher queries, including multi-hop traversals under latency constraints
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Experience designing graph schemas, evaluating trade-offs between different modeling approaches
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Experience building entity resolution logic, including fuzzy matching, scoring algorithms, and deduplication across data sources
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Strong Python skills for data engineering, including batch processing of structured data payloads
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Ability to work independently in a fast-paced, staff augmentation setting with an established client team
Nice to Have
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Solid experience with Amazon Neptune
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Prior experience in fashion, retail, or e-commerce catalogs
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AWS certification in databases or data analytics
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Experience integrating graph databases with generative AI agents (for example, Amazon Bedrock Agents)
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Familiarity with recommendation systems or ranking/weighting logic for content surfacing
Location & Eligibility
About this job
- Who can apply
- Brazil
- Posted
- 75 days ago
Listing Details
- Posted
- August 17, 2026
- First seen
- August 17, 2026
- Last seen
- November 1, 2026
Posting Health
- Days active
- 75
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- November 1, 2026
Signal breakdown
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