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Current: English
Current: English
Job Description
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.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Source: Official Cognizant careers portal.
