Location: PAN India
Job Description
We are seeking an experienced Neo4j Graph Database Developer with strong expertise in graph data modeling, query optimization, and data integration. The ideal candidate should have hands-on experience designing and implementing graph-based solutions using Neo4j for complex relationship-driven business use cases.
Key Responsibilities
- Design, develop, and maintain Neo4j Graph Database solutions.
- Create and optimize graph data models, nodes, relationships, and schemas.
- Develop complex queries using Cypher Query Language.
- Build and maintain ETL pipelines for loading and transforming data into Neo4j.
- Optimize graph database performance, scalability, and data integrity.
- Integrate Neo4j with enterprise applications, APIs, and data platforms.
- Collaborate with Data Engineering, Analytics, and Application Development teams.
- Troubleshoot graph database issues and implement best practices.
Required Skills
- Strong hands-on experience with Neo4j Graph Database.
- Expertise in Cypher Query Language.
- Good understanding of Graph Data Modeling and graph algorithms.
- Experience with Python, Java, or Scala.
- Knowledge of REST APIs and microservices architecture.
- Experience with data migration, ETL, and data integration tools.
- Understanding of database concepts, indexing, and query optimization.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
Preferred Skills
- Experience with Apache Spark, Kafka, or Data Engineering ecosystems.
- Knowledge of Graph Data Science (GDS) library.
- Understanding of knowledge graphs, recommendation engines, fraud detection, or network analytics.
- Neo4j certification is a plus.
关于高知特 (Cognizant)
高知特(Cognizant)(纳斯达克代码:CTSH)作为一家AI Builder和相关技术服务提供商,致力于通过打造全栈AI解决方案,帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长,将企业独特的业务场景融入科技系统,赋能组织释放人才潜能,推动切实成果,并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情,敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外,候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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