Senior Data & Knowledge Engineer

About the role

Coforge is seeking a Senior Data & Knowledge Engineer to design and implement Retrieval Augmented Generation (RAG) and enterprise search solutions. The role is fully remote and open to candidates in Costa Rica, Peru, Colombia, or Bolivia.

Key responsibilities

• Design RAG and enterprise search architectures, building ingestion, transformation, enrichment, document extraction, embedding, and indexing pipelines using Databricks.
• Build and maintain Azure AI Search, vector search, and access‑controlled retrieval indexes, ensuring metadata, citations, lineage, data freshness, and secure access.
• Implement Azure Document Intelligence pipelines to extract structured information from PDFs, forms, engineering documents, reports, and scanned content.
• Design and maintain knowledge graph models for entities, relationships, metadata, lineage, and domain context while continuously optimizing retrieval relevance and knowledge quality.

Required profile

• 5+ years of experience in Data Engineering, Search Engineering, Analytics Engineering, or Knowledge Platform roles.
• Strong hands‑on experience with Azure Document Intelligence, Azure AI Search, Databricks, and SQL.
• Experience building production‑grade data ingestion, transformation, enrichment, embedding, and indexing pipelines.
• Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field.

Required skills

• Azure Document Intelligence
• Azure AI Search
• Databricks
• SQL
• Vector Search
• Embeddings
• RAG (Retrieval Augmented Generation)
• Knowledge Graphs
• Neo4j