
11 - 50 employees
Founded 2002
🏠 Real Estate
🚀 Aerospace
🏗️ Construction
Real Estate • Aerospace • Construction
Reef Group is a developer and investor focused on real estate, infrastructure and technology, positioning itself to build a sustainable earth and space economy. The company describes itself as real estate, infrastructure and technology developers & investors and highlights a 25-year history of growth and evolution with an expressed mission to support sustainability in both terrestrial and space-related projects.
🔥 1 minute ago
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11 - 50 employees
Founded 2002
🏠 Real Estate
🚀 Aerospace
🏗️ Construction
Real Estate • Aerospace • Construction
Reef Group is a developer and investor focused on real estate, infrastructure and technology, positioning itself to build a sustainable earth and space economy. The company describes itself as real estate, infrastructure and technology developers & investors and highlights a 25-year history of growth and evolution with an expressed mission to support sustainability in both terrestrial and space-related projects.
• Develop and maintain metadata ingestion pipelines, connectors, and automation using Python, SQL, and REST APIs • Integrate enterprise metadata platforms such as Collibra, Databricks Unity Catalog, or similar technologies with upstream and downstream data systems • Build and support metadata harvesting, schema discovery, and lineage capture across enterprise data sources • Design and implement AI-assisted automation for metadata extraction, documentation, classification, and business glossary generation using LLMs or similar technologies • Apply prompt engineering techniques to tune AI-generated outputs, and build human-review checkpoints to validate AI-generated content before publication • Troubleshoot pipeline failures, data quality issues, and integration errors across metadata workflows • Collaborate with data architects, governance leads, and engineers to translate metadata management requirements into working integrations • Participate in Agile ceremonies (sprint planning, standups, retrospectives) and deliver work incrementally as part of a cross-functional team • Document integration logic, pipeline design, and automation workflows to support maintainability and audit needs
• 3–5 years of experience developing enterprise data or metadata integration solutions • Experience developing metadata ingestion pipelines, APIs, connectors, and automation using Python, SQL, and REST APIs • Experience integrating enterprise metadata platforms such as Collibra, Databricks Unity Catalog, or similar technologies • Knowledge of metadata harvesting, lineage, schema discovery, and enterprise metadata management concepts • Experience implementing AI-assisted automation for metadata extraction, documentation, classification, or business glossary generation using LLMs or similar technologies • Familiarity with prompt engineering, AI APIs, and human review processes for AI-generated content • Strong analytical, troubleshooting, and problem-solving skills with experience working in Agile delivery teams • US Citizenship and may require the ability to obtain a security clearance
• Company is a Service-Disabled Veteran Owned Small Business • Agile development and improvement methodologies
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