Senior Data Engineer

Short Description for Internal Candidates We are looking for a talented Knowledge Graph Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, implementing, and optimizing graph databases to efficiently store and retrieve high-dimensional data. Description for Internal Candidates 5-10 years of experience working with data engineering with at least 2-3 years of experience working on graph databases. Proficiency in query languages like Cypher or Gremlin and a solid foundation in graph theory are crucial for success in this position. Outstanding written and verbal communication skills. Superior analytical and problem-solving skills. Experience in working in dual shore engagement is preferred. Responsibilities for Internal Candidates Help design, build and continuously improve the client?s online platform. Design and implement graph databases to efficiently store and retrieve dimensional data. Utilize Neo4j for creating and managing knowledge graphs, ensuring optimal performance and scalability. Research, suggest and implement new technology solutions following best practices/standards. Develop and maintain knowledge graphs using Neo4j, incorporating domain-specific data and referential integrities. Work with application teams to integrate graph databases, knowledge graphs solutions within existing infrastructure. Provide support for query optimization and data modeling for application-specific requirements. Ensure that proper data security measures are implemented for graph databases and knowledge graphs.