Description

You will design, develop, and enhance the firm's knowledge graph to empower multiple applications. You will own the end-to-end data lifecycle, from cleansing and ingesting data into graph stores to optimizing queries and implementing graph algorithms for complex relationship analysis.

This role is on-site.

Responsibilities

• Design and develop graph data solutions, schemas, and ontologies to support dynamic data systems.
• Implement graph algorithms to model, query, and analyze complex relationships in large datasets.
• Develop and maintain ETL pipelines for ingesting data into the knowledge graph and enriching it for business requirements.
• Build data quality checks to ensure data validity and integrity.
• Collaborate with software engineers, data scientists, and product managers to build business cases using graph technologies.

Required Skills

• 4+ years of professional software development experience.
• Proficiency in Java and Spring Boot.
• Experience building data engineering applications within AWS.
• Strong understanding of algorithms and data structures.
• Ability to work in an Agile environment.
• Experience building APIs and microservices.
• Familiarity with ETL processes and data quality checks.

Preferred Skills

• Experience with graph technologies (RDF, SPARQL, Cypher) and stores (Neo4J, Neptune, GraphDB).
• Proficiency in Python or Scala.
• Familiarity with Spark, Databricks, and graph/ML algorithms (PageRank, Scikit-learn).

Key Skills

Education

Bachelor's degree