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CI&T

QA, Drupal

CI&T

. Define node labels and edge types representing relationships between designers, garments, style attributes, trends, occasions, and editorial articles .

Posted 9/24/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in graph database design and optimization, particularly with Amazon Neptune and openCypher queries. Proficient in Python for data engineering and capable of collaborating with cross-functional teams to enhance retrieval and recommendation systems.

Highest-signal resume keywords
Amazon NeptuneOpenCypher Query OptimizationGraph Schema DesignPython Data EngineeringEntity Resolution Logic

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Graph Database DesignOpenCypher QueriesEntity ResolutionFuzzy MatchingScoring AlgorithmsDeduplication TechniquesBatch ProcessingData PayloadsMulti-Hop TraversalsAttribute-Overlap Scoring
Soft Skills
Autonomous CommunicationCollaborationFast-Paced Work Adaptability
Tools & Technologies
Amazon BedrockGraph DatabasesRecommendation Systems
Certifications & Qualifications
AWS Database CertificationAWS Data Analytics Certification
Industry Keywords
FashionRetailE-CommerceCatalog Management

Tech Stack

Tools & technologies
AWSNode.jsPython

About the role

Key responsibilities & impact
  • Define node labels and edge types representing relationships between designers, garments, style attributes, trends, occasions, and editorial articles
  • Build workflows that consume structured JSON payloads and load them into the graph database in batch mode
  • Match extracted item mentions to product nodes in a catalog of 50,000+ SKUs using attribute-overlap scoring and confidence thresholds
  • Deduplicate items appearing inconsistently across different articles
  • Assign relationship weights based on the prominence of items or trends in editorial content
  • Design and tune openCypher traversal queries, including multi-hop queries, to return relevant results in under three seconds for Amazon Bedrock Agents
  • Collaborate with Machine Learning and GenAI Agent Developers to align graph structure with retrieval and recommendation needs
  • Support technical interviews and validation of new team members for the graph database workstream

Requirements

What you’ll need
  • 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 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
  • 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)

Benefits

Comp & perks
  • 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 during the selection process