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Core Competencies
Role fitCore 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, while effectively collaborating with cross-functional teams to enhance AI-driven recommendations. Proficient in Python for data engineering and entity resolution, with a strong focus on delivering results in fast-paced environments.
Highest-signal resume keywords
Amazon NeptuneOpenCypher Query OptimizationGraph Schema DesignPython Data EngineeringEntity Resolution Logic
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Graph Database DesignBatch ProcessingFuzzy MatchingScoring AlgorithmsDeduplication TechniquesMulti-Hop TraversalsAttribute-Overlap ScoringJSON Payload HandlingRelationship WeightingRecommendation Systems
Soft Skills
Autonomous CommunicationCollaborationFast-Paced Adaptability
Tools & Technologies
Amazon BedrockGraph DatabasesData Analytics Tools
Certifications & Qualifications
AWS Certification in DatabasesAWS Certification in Data Analytics
Industry Keywords
FashionRetailE-CommerceCatalog Management
Tech Stack
Tools & technologiesAWSNode.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 batch workflows to load structured JSON payloads into the graph database
- 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 articles
- Assign relationship weights based on editorial prominence to influence AI-agent recommendations
- Design and tune openCypher traversal and 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 graph database team members as needed
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, 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, for example Amazon Bedrock Agents (nice to have)
- Familiarity with recommendation systems or ranking/weighting logic for content surfacing (nice to have)
Benefits
Comp & perks- Premium Healthcare
- Meal voucher
- Maternity and Parental leaves
- Mobile services subsidy
- Sick pay-Life insurance
- CI&T University
- Colombian Holidays
- Paid Vacations