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Graph Database Engineer
2 months ago
At Qualitative Financials, we are seeking a highly skilled Graph DB/AI Engineer to join our team. As a key member of our engineering team, you will be responsible for designing and implementing graph data models, developing applications with Python, and integrating graph data from various sources.
Key Responsibilities:- Design and implement graph data models that capture complex relationships, ensuring efficient querying and traversal.
- Develop applications with Python and integrate graph data from various sources.
- Work with graph database query languages (e.g. SPARQL, Gremlin, Cypher) and required proficiency in graph databases (e.g., Graphdb, Neo4j, Amazon Neptune, JanusGraph).
- Manage graph databases and experience with graph algorithms and graph-based machine learning.
- Work with AWS infrastructure (S3, CFTs, EC2), security, and data and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow).
- 8+ years of experience in graph database engineering, AI/ML, and Python development.
- Experience with graph database query languages and required proficiency in graph databases.
- Hands-on experience working with LPG/RDF and managing graph databases.
- Experience with graph algorithms and graph-based machine learning.
- Superior SQL skills and experience developing data transformation pipelines on multiple database platforms.
- Bachelor's or master's degree in computer science, data science, or related field.
- A dynamic and collaborative work environment.
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
We are an equal opportunities employer and welcome applications from diverse candidates. If you are passionate about data and technology and have experience with or an interest in AI/ML and/or the consumer experience, and healthcare technology, we encourage you to apply.