Description

Key Skills: Neo4j, Pyspark, Python, Graph Theory, Gremlin

Roles and Responsibilities:

  • 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 and standards.
  • Develop and maintain knowledge graphs using Neo4j, incorporating domain-specific data and referential integrities.
  • Work with application teams to integrate graph databases and knowledge graph solutions within existing infrastructure.
  • Provide support for query optimization and data modeling based on application-specific requirements.
  • Ensure proper data security measures are implemented for graph databases and knowledge graphs.

Skills Required:

  • 5-10 years of experience in data engineering.
  • At least 2-3 years of hands-on experience with graph databases.
  • Proficiency in query languages like Cypher or Gremlin.
  • Strong foundation in Graph Theory.
  • Outstanding written and verbal communication skills.
  • Excellent analytical and problem-solving skills.
  • Experience working in dual-shore (onsite-offshore) engagements is preferred.

Education:  Bachelor's or Master's degree in Computer Science, Information Technology, or related field

Education

Any Graduate