Senior Data & Knowledge Engineer

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.