Senior Data & Knowledge Engineer

Job description

**Job Title:** Senior Data & Knowledge Engineer **Key Skills:** Azure Document Intelligence, Azure AI Search, Databricks, SQL, Vector Search, Embeddings, RAG, Knowledge Graphs, Neo4j, Data Engineering **Experience:** 5+ YOE. **Location:** Costa Rica, Peru, Colombia, Bolivia. **Mode:** Remote We at Coforge are hiring Senior Data & Knowledge Engineer (#006fu00000bWsOCAA0-3) with the following skill set. **Key Responsibilities** - Design RAG and enterprise search architectures and build 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 security-trimmed 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 Skills & Qualifications** - 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. - Strong knowledge of vector search, embeddings, RAG architecture, and enterprise information retrieval. - Experience designing and maintaining knowledge graphs using Neo4j or other graph database technologies. - Strong understanding of metadata, lineage, data quality, governance, and knowledge management practices. - Experience working with structured and unstructured enterprise data and document extraction patterns. - Knowledge of secure retrieval patterns, filtering, citations, access controls, and data freshness. - Experience measuring and optimizing retrieval relevance and knowledge quality. - Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field. **Preferred Skills:** - Advanced hands-on experience with Azure AI Search, Databricks, RAG, and vector-search solutions. - Experience with document processing, chunking, embeddings, ranking, metadata, and citation design. - Hands-on knowledge graph experience with Neo4j, RDF, graph databases, semantic modeling, ontology design, or entity-relationship mapping. - Azure Data Engineer or Databricks certification. **Posted On:** 12-10-2026 At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.