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EncoraSenior Data & Knowledge Engineer
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Before you apply
LocationCampinas, Colombia
Work moderemote
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentCSA Billable
Company size10,000+ people
PostedOct 12, 2026 · 3w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
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
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
Skills
Azure Document Intelligence
Azure AI Search
Databricks
SQL
Vector Search
Embeddings
RAG
Knowledge Graphs
Neo4j
Data Engineering
RDF
graph databases
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
Requirements
Experience: 5+ YOE.
Location: Costa Rica, Peru, Colombia, Bolivia.
Mode: Remote
About the role
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
Legal
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.