Senior Data & Knowledge Engineer — Remote (RAG & Graphs)

Encora; Comisión de Fomento de Perú; Remote; ARS 136,428,000 - 227,380,000; Full time

Job summary

Coforge is seeking a Senior Data & Knowledge Engineer to design RAG and enterprise search architectures and to build ingestion, transformation, enrichment, document extraction, embedding, and indexing pipelines using Databricks.

You will maintain Azure AI Search, vector search, and access-controlled retrieval indexes, ensure metadata and lineage, and implement Azure Document Intelligence pipelines to extract information from PDFs, forms, and reports, while shaping knowledge graphs for domain

Qualifications

• 5+ years of experience in Data/Analytics/KP roles.
• Hands-on with Azure Document Intelligence, Azure AI Search, Databricks, SQL.
• Experience building production-grade data ingestion, transformation, enrichment, embedding, and indexing pipelines.
• Knowledge of vector search, embeddings, RAG architecture, and enterprise information retrieval.

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.

Skills

Data engineering

Search engineering

Analytics engineering

Knowledge platform

Education

Bachelor’s degree in Computer Science or related field

Tools

Azure Document Intelligence

Azure AI Search

Databricks

SQL

Neo4j

Job description

Coforge is seeking a Senior Data & Knowledge Engineer to design RAG and enterprise search architectures and to build ingestion, transformation, enrichment, document extraction, embedding, and indexing pipelines using Databricks.

You will maintain Azure AI Search, vector search, and access-controlled retrieval indexes, ensure metadata and lineage, and implement Azure Document Intelligence pipelines to extract information from PDFs, forms, and reports, while shaping knowledge graphs for domain