- Encora10
- Peru, IN
- 24 days ago
Senior Data & Knowledge Engineer.
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Senior Data & Knowledge Engineer: our view in 3 lines...
- The Role:A senior data and knowledge engineer role focused on enterprise search, retrieval, and knowledge graph solutions.
- The Person:The person will design RAG and enterprise search architectures, build ingestion and indexing pipelines, implement document extraction, and maintain knowledge graphs, metadata, lineage, and access-controlled retrieval systems.
- Requirements:The role requires 5+ years of experience in Data Engineering, Search Engineering, Analytics Engineering, or Knowledge Platform roles, with strong hands-on experience in Azure Document Intelligence, Azure AI Search, Databricks, SQL, and Neo4j.
About the role
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
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Design RAG and enterprise search architectures and build ingestion, transformation, enrichment, document extraction, embedding, and indexing pipelines using Databricks.
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Build and maintain Azure AI Search, vector search, and access-controlled retrieval indexes, ensuring metadata, citations, lineage, data freshness, and security-trimmed access.
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Implement Azure Document Intelligence pipelines to extract structured information from PDFs, forms, engineering documents, reports, and scanned content.
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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
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5+ years of experience in Data Engineering, Search Engineering, Analytics Engineering, or Knowledge Platform roles.
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Strong hands-on experience with Azure Document Intelligence, Azure AI Search, Databricks, and SQL.
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Experience building production-grade data ingestion, transformation, enrichment, embedding, and indexing pipelines.
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Strong knowledge of vector search, embeddings, RAG architecture, and enterprise information retrieval.
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Experience designing and maintaining knowledge graphs using Neo4j or other graph database technologies.
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Strong understanding of metadata, lineage, data quality, governance, and knowledge management practices.
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Experience working with structured and unstructured enterprise data and document extraction patterns.
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Knowledge of secure retrieval patterns, filtering, citations, access controls, and data freshness.
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Experience measuring and optimizing retrieval relevance and knowledge quality.
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Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field.
Preferred Skills:
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Advanced hands-on experience with Azure AI Search, Databricks, RAG, and vector-search solutions.
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Experience with document processing, chunking, embeddings, ranking, metadata, and citation design.
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Hands-on knowledge graph experience with Neo4j, RDF, graph databases, semantic modeling, ontology design, or entity-relationship mapping.
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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.