Senior Data & Knowledge Engineer
Encora Colombia
IT Services and IT Consulting · 5,001-10,000 employees
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About the role
Design and implement RAG and enterprise search architectures using Databricks, including ingestion, transformation, and indexing pipelines. Maintain knowledge graph models and Azure AI Search indexes to ensure high-quality, secure, and relevant data retrieval.
What they look for
Requirements
Requires 5+ years of experience in data or search engineering with strong hands-on skills in Azure AI tools, Databricks, and SQL. A bachelor's degree in a relevant technical field is required, along with expertise in vector search and knowledge graph technologies.
Full 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.
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.
