[Job - 30900] Master Data Developer (Amazon Neptune), Colombia

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Quick Summary

Key Responsibilities

Schema Design: Define node labels and edge types that represent the relationships between designers, garments, style attributes, trends, occasions, and editorial articles.

Requirements Summary

Advanced English proficiency (C1 or above),

Technical Tools

OtherData Developer

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

~1 min read

Requirements

~1 min read

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, 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

Nice to Have

~1 min read

Prior experience in fashion, retail, or e-commerce catalogs
AWS certification in databases or data analytics
Experience integrating graph databases with generative AI agents (for example, Amazon Bedrock Agents)
Familiarity with recommendation systems or ranking/weighting logic for content surfacing

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Our benefits include:

- Premium Healthcare

- Meal voucher

- Maternity and Parental leaves

- Mobile services subsidy

- Sick pay-Life insurance

- CI&T University

- Colombian Holidays

- Paid Vacations

And many others.

Collaboration is our superpower, diversity unites us, and excellence is our standard.

We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.