8 hours ago
Responsibilities
- Design, develop, and optimize graph-based data models and applications using Neo4j.
- Develop Cypher queries and tune graph database performance for enterprise-scale systems.
- Build API-based access and integrate graph solutions with data pipelines and business systems.
- Develop end-to-end software solutions supporting supply planning, demand planning, product distribution, and related supply chain processes.
- Collaborate with internal stakeholders to define and implement solutions that optimize business processes.
- Apply graph analytics, data modeling, and data integration techniques to generate analytics and insights.
Requirements
- Require 5+ years of experience in data engineering, backend development, or database design, including 3+ years of hands-on Neo4j experience.
- Proficiency in at least one of Java, Python, or JavaScript, with strong knowledge of APIs, microservices, and data integration frameworks.
- Deep understanding of graph theory concepts including nodes, relationships, traversals, and centrality.
- Familiarity with Neo4j Bloom, GraphQL for Neo4j, or the Graph Data Science library.
- Proficiency in data modeling, ETL pipeline development, and SQL/NoSQL databases.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- Preferred experience includes supply chain, product lifecycle, recommendation systems, graph analytics, ML integrations, knowledge graphs, Docker/Kubernetes, infrastructure automation, and Power BI, Tableau, or custom dashboards.
Tech Stack
Categories
BackendData Engineering
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.