Job Description
Job Description
- Design, model, and implement graph data structures that capture complex system relationships, workflows, and time-dependent processes using Neo4j, Gremlin, or similar tools.
- Build and integrate web application back ends and contribute to front-end development as needed to deliver complete, production-ready features.
- Develop and maintain robust ETL and data pipelines spanning structured, semi-structured, and unstructured data, with strong attention to data quality.
- Engineer real-time and event-streaming workflows that handle high-velocity, sequential data flows.
- Deploy and operate enterprise applications in cloud environments using containerization and orchestration, applying DevOps, DataOps, and MLOps practices.
- Apply GenAI/ML techniques, including GraphRAG, to graph-related and NoSQL data problems.
- Write thorough unit, integration, and API tests to ensure robust, scalable, and maintainable solutions. ...
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