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Senior Data & Knowledge Engineer

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Onsite

Senior Data & Knowledge Engineer

Encora

Senior Data & Knowledge Engineer

Skills

SQL QueriesData EngineeringData ScienceKnowledge ManagementNeo4jDatabricksData AnalysisAIAzure

10 days ago

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Important information


Location:

Colombia

Work mode:

Onsite

Published on:

13 October 2026

What they need


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.

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