Neo4j Graph Database Professional

1 day ago


Chennai, Tamil Nadu, India IDESLABS PRIVATE LIMITED Full time ₹ 5,00,000 - ₹ 15,00,000 per year

Employment Type: Contract

Job Description:

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

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. Cypher)

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.



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