Graph Database engineer
4 weeks ago
Qualifications
Minimum 3+ years of working experience with knowledge graphs/graph databases
Expertise with Graph database technology especially Neo4J
Expertise with Python, and related software engineering platforms/frameworks
Experience in designing and building highly scalable Knowledge Graphs in production
Experience developing APIs leveraging knowledge graph data
Experience with querying knowledge graphs using a graph query language (e.g
Experience working with end-to-end CI/CD pipelines using frameworks
The ideal candidate will have a strong knowledge of Graph solutions especially Neo4j, Python and have experience working with massive amounts of data in the retail space
Candidate must have a strong curiosity for data and a proven track record of successfully implementing graph database solutions with proficiency in software engineering.
Responsibilities
Build Knowledge Graph solutions leveraging large-scale datasets
Design and build graph database schemas to support various use cases including knowledge graphs.
Design and develop a Neo4j data model for a new application as per the use cases.
Design and build graph database load processes to efficiently populate the knowledge graphs
Migrate an existing relational database (BigQuery) to Neo4j
Build design/integration patterns for both batch and real-time update processes to keep the knowledge graphs in sync
Work with stakeholders to understand the requirements and translate them into technical architecture
Select and configure appropriate Neo4j features and capabilities as applicable for the given use case(s)
Optimize the performance of a Neo4j-based recommendation engine
Set up a Neo4j cluster in the cloud
Configure Neo4j security features to protect sensitive data
Ensure the security and reliability of Neo4j deployments
Provide guidance and support to other developers on Neo4j best practices
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