Master Data Developer (Amazon Neptune), Colombia

CI&T Software S.A.; Colombia; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Premium Healthcare

Meal voucher

Maternity and Parental leaves

Mobile services subsidy

Sick pay-Life insurance

CI&T University

Colombian Holidays

Paid Vacations

Descripción de la vacante

CI&T is seeking a skilled Graph Database Developer to join a team building an AI-powered fashion advisory platform. You will own the graph data layer from schema design to ingestion, entity resolution, and query performance, directly influencing recommendations.

Work in staff augmentation, collaborating with ML and GenAI developers to ensure the graph supports fast, relevant retrievals for real-time user styling suggestions.

Formación

• Fluent English with ability to communicate with international stakeholders.
• Solid experience with Amazon Neptune and the property graph data model.
• Experience writing/optimizing openCypher queries, including multi-hop traversals.
• Experience designing graph schemas and evaluating modeling trade-offs.
• Experience building entity resolution logic with deduplication across sources.
• Strong Python skills for data engineering and batch processing.
• Ability to work independently in a fast-paced staff augmentation setting.

Responsabilidades

• Define node labels and edge types for designers, garments, attributes, trends, and articles.
• Build workflows to ingest structured JSON payloads into the graph database in batch mode.
• Implement probabilistic entity matching and deduplicate items across articles.
• Assign editorial weights to relationships based on feature prominence to guide AI surfaces.
• Design and tune openCypher queries for fast cross-hop traversals.
• Collaborate with ML and GenAI developers to align graph with retrieval and recommendation needs.
• Support technical interviews and validation for new team members.

Conocimientos

Advanced English (C1+)

Python

Independent work

Herramientas

Amazon Neptune

openCypher

Graph schema design

Descripción del empleo

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:

• 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 (for example, a bag described by type, color, and material) 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, distinguishing a dedicated feature from a passing mention. These weights determine what the AI agent surfaces first in its 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 alongside the Machine Learning Developer and GenAI Agent Developer to align the graph structure with the retrieval and recommendation needs of the AI agent.
• Technical Validation: Support technical interviews and validation of new team members joining the graph database workstream, 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, 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:

• 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

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.