Related skills
sql python genai knowledge graph rdfπ Description
- Design and build data pipelines and distributed data systems.
- Model data, ensure quality, and production-grade reliability.
- Develop Knowledge Graphs: entity/relationship modeling, ontology, RDF/TTL.
- Write Python and SQL code; query and analyze data.
- Apply Graph-RAG or graph-based retrieval in real apps.
- Work cross-functionally in fast-paced environments.
- Communicate clearly in English.
π― Requirements
- 3-5 years in Data or Backend Engineering.
- Data modeling, data quality, and production-grade data systems.
- Hands-on Knowledge Graph expertise: entity/relationship modeling, ontology, RDF/TTL.
- Python and SQL proficiency.
- Experience building and querying Knowledge Graphs in real applications.
- Experience with Graph-RAG or graph-based retrieval.
- Cloud platforms (GCP, AWS, or Azure).
- Experience integrating Knowledge Graphs with LLMs or GenAI.
π Benefits
- Statutory & Major benefits
- Personal Growth
- Competitive salary
- Attractive benefits plan
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