<p> </p> <p><strong>Job Title:</strong> Senior Data & Knowledge Engineer</p> <p><strong>Key Skills:</strong> Azure Document Intelligence, Azure AI Search, Databricks, SQL, Vector Search, Embeddings, RAG, Knowledge Graphs, Neo4j, Data Engineering</p> <p><strong>Experience:</strong> 5+ YOE.</p> <p><strong>Location:</strong> Costa Rica, Peru, Colombia, Bolivia.</p> <p><strong>Mode:</strong> Remote</p> <p>We at Coforge are hiring Senior Data & Knowledge Engineer (#006fu00000bWsOCAA0-3) with the following skill set.</p> <p><strong>Key Responsibilities</strong></p> <ul> <li> <p>Design RAG and enterprise search architectures and build ingestion, transformation, enrichment, document extraction, embedding, and indexing pipelines using Databricks.</p> </li> <li> <p>Build and maintain Azure AI Search, vector search, and access-controlled retrieval indexes, ensuring metadata, citations, lineage, data freshness, and security-trimmed access.</p> </li> <li> <p>Implement Azure Document Intelligence pipelines to extract structured information from PDFs, forms, engineering documents, reports, and scanned content.</p> </li> <li> <p>Design and maintain knowledge graph models for entities, relationships, metadata, lineage, and domain context while continuously optimizing retrieval relevance and knowledge quality.</p> </li> </ul> <p><strong>Required Skills & Qualifications</strong></p> <ul> <li> <p>5+ years of experience in Data Engineering, Search Engineering, Analytics Engineering, or Knowledge Platform roles.</p> </li> <li> <p>Strong hands-on experience with Azure Document Intelligence, Azure AI Search, Databricks, and SQL.</p> </li> <li> <p>Experience building production-grade data ingestion, transformation, enrichment, embedding, and indexing pipelines.</p> </li> <li> <p>Strong knowledge of vector search, embeddings, RAG architecture, and enterprise information retrieval.</p> </li> <li> <p>Experience designing and maintaining knowledge graphs using Neo4j or other graph database technologies.</p> </li> <li> <p>Strong understanding of metadata, lineage, data quality, governance, and knowledge management practices.</p> </li> <li> <p>Experience working with structured and unstructured enterprise data and document extraction patterns.</p> </li> <li> <p>Knowledge of secure retrieval patterns, filtering, citations, access controls, and data freshness.</p> </li> <li> <p>Experience measuring and optimizing retrieval relevance and knowledge quality.</p> </li> <li> <p>Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field.</p> </li> </ul> <p><strong>Preferred Skills:</strong></p> <ul> <li> <p>Advanced hands-on experience with Azure AI Search, Databricks, RAG, and vector-search solutions.</p> </li> <li> <p>Experience with document processing, chunking, embeddings, ranking, metadata, and citation design.</p> </li> <li> <p>Hands-on knowledge graph experience with Neo4j, RDF, graph databases, semantic modeling, ontology design, or entity-relationship mapping.</p> </li> <li> <p>Azure Data Engineer or Databricks certification.</p> </li> </ul> <p><strong>Posted On:</strong> 12-10-2026</p> <p>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.</p>