Ampstek
Data Engineer (SME-Level Candidate: Knowledge Graph)(agentic AI and Genrative AI)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (SME-Level Candidate: Knowledge Graph) with expertise in agentic AI and generative AI. It offers a remote, full-time position for over 6 months, requiring extensive data engineering experience, proficiency in Python and SQL, and Knowledge Graph expertise.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 17, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Modeling #AI (Artificial Intelligence) #Knowledge Graph #HBase #Data Quality #RDF (Resource Description Framework) #Python #SQL (Structured Query Language) #Data Engineering
Role description
Job Title : Data Engineer (SME-Level Candidate: Knowledge Graph)
Location : Remote
Duration: Full Time
Job Description ::
Note : Need somebody who has worked on agentic AI and genrative AI
Required Skills
• Extensive data engineering experience, including production-grade data modeling and ensuring data quality.
• Expertise as a Knowledge Graph SME, with practical skills in:
• Entity and relationship modeling
• Ontologies and semantic design
• RDF TTL and related graph standards
• Proficiency in Python and SQL.
• Familiarity with GraphRAG and graph-based retrieval patterns.
• Hands-on experience constructing and querying Knowledge Graphs in real-world scenarios.
Job Title : Data Engineer (SME-Level Candidate: Knowledge Graph)
Location : Remote
Duration: Full Time
Job Description ::
Note : Need somebody who has worked on agentic AI and genrative AI
Required Skills
• Extensive data engineering experience, including production-grade data modeling and ensuring data quality.
• Expertise as a Knowledge Graph SME, with practical skills in:
• Entity and relationship modeling
• Ontologies and semantic design
• RDF TTL and related graph standards
• Proficiency in Python and SQL.
• Familiarity with GraphRAG and graph-based retrieval patterns.
• Hands-on experience constructing and querying Knowledge Graphs in real-world scenarios.
