Key Responsibilities:

Design and implement scalable knowledge graph solutions using Neo4j.
Write efficient and optimized Cypher queries for data retrieval and manipulation.
Develop data pipelines to ingest, transform, and load data into graph databases.
Collaborate with data scientists, architects, and domain experts to model complex relationships.
Deploy and manage graph database solutions on AWS infrastructure.
Ensure data quality, consistency, and security across the knowledge graph.
Monitor performance and troubleshoot issues in graph-based applications.
Stay updated with the latest trends and advancements in graph technologies and cloud services.

Required Skills & Qualifications:

Proven experience with Neo4j and Cypher query language.
Strong understanding of graph theory, data modeling, and semantic relationships.
Hands-on experience with AWS services such as EC2, S3, Lambda, RDS, and IAM.
Proficiency in Python, Java, or Scala for data processing and integration.
Experience with ETL pipelines, data integration, and API development.
Familiarity with RDF, SPARQL, or other semantic web technologies is a plus.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration abilities.

Knowledge Graph Engineer