[Job - 30900] Master Data Developer, Brazil
CI&T· GU3 – Prod_GU3
RemoteHomeofficePosted 2mo ago
About the role
Graph Database Developer to join a specialized team building an AI-powered fashion advisory platform. Responsible for the graph data layer from schema design to ingestion, entity resolution, and query performance, enabling real-time style recommendations for end users.
Responsibilities
- Schema Design: Define node labels and edge types that represent the relationships between designers, garments, style attributes, trends, occasions, and editorial articles.
- Entity Ingestion: Build workflows that consume structured JSON payloads from the upstream data pipeline and load them into the graph database in batch mode.
- Probabilistic Entity Matching: Match extracted item mentions to the correct product node in a catalog of 50,000+ SKUs by scoring attribute overlap, assigning a match confidence, and creating the relationship only when it exceeds a defined threshold. Deduplicate items that appear inconsistently across different articles.
- Editorial Signal Weighting: Assign weights to relationships based on how prominently an item or trend was featured, influencing AI-driven recommendations.
- Query Optimization: Design and tune openCypher traversal queries, including multi-hop queries, to return relevant results in under three seconds for downstream Amazon Bedrock Agents.
- Cross-Functional Collaboration: Work with Machine Learning Developer and GenAI Agent Developer to align the graph structure with retrieval and recommendation needs.
- Technical Validation: Support technical interviews and validation of new team members joining the graph database workstream.
Qualifications
- Advanced English proficiency (C1 or above), with autonomy to communicate directly with international stakeholders
- Solid experience with the property graph data model
- Experience writing and optimizing openCypher queries, including multi-hop traversals under latency constraints
- Experience designing graph schemas, evaluating trade-offs between different modeling approaches
- Experience building entity resolution logic, including fuzzy matching, scoring algorithms, and deduplication across data sources
- Strong Python skills for data engineering, including batch processing of structured data payloads
- Ability to work independently in a fast-paced, staff augmentation setting with an established client team
Skills
Required:Advanced English proficiencyProperty graph data modelopenCypherGraph schema designEntity resolutionPython for data engineeringIndependent work in staff augmentation
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
- And many more!
Last updated Oct 21, 2026. Interested? Apply on the company site.
About CI&T
Technology Transformation Specialists
A global technology consulting and digital transformation firm that combines human expertise with AI to develop innovative solutions.
Technology transformationAISoftware developmentCloud servicesDigital experienceData analyticsApplication modernizationConsulting
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