Senior Data & Knowledge Engineer

Encora Inc.; Lima Metropolitana; Remote; PEN 412,000 - 618,000; Full time

Job summary

Coforge is seeking a Senior Data & Knowledge Engineer to design RAG and enterprise search architectures, build data pipelines in Databricks, and manage Azure AI Search with secure, reliable retrieval. The role focuses on structured and unstructured data, embeddings, and knowledge graphs to improve retrieval relevance across enterprise content.

You will implement Azure Document Intelligence pipelines to extract data from PDFs and forms, build robust indexing, and ensure data freshness and

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.

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

Azure Document Intelligence

Azure AI Search

Databricks

SQL

Vector Search

Embeddings

RAG

Knowledge Graphs

Neo4j

Data Engineering

Education

Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field

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.

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.