8+ years of experience in data/software/knowledge engineering
. Experience in enterprise environments (preferably financial services)
. Programming skills (Python, Java or similar)
. API and system integration experience
. Knowledge of RDF, RDFS, OWL, SPARQL
. Understanding of data modelling and metadata
. Familiarity with JSON, XML, CSV
. Experience with knowledge graphs and ontologies
. Exposure to Azure cloud services
. Basic DevOps knowledge (Git, CI/CD)
. Agile/Scrum working experience

Nice to Have

. Experience with GraphDB, Stardog or Neo4j
. Familiarity with RML or YARRRML
. Experience with SHACL validation
. Knowledge of Kafka or Event Hubs
. Experience with data mesh concepts
. GraphQL or semantic APIs

Responsibilities

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Develop and maintain linked data pipelines using RDF
. Design mappings from relational, XML and JSON to semantic models
. Integrate domain data products aligned with data mesh principles
. Work with enterprise ontologies and vocabularies
. Build APIs exposing semantic data and metadata
. Implement data quality rules using SHACL
. Collaborate with Tech Leads, Product Owners.
. Contribute to CI/CD pipelines (Azure DevOps)
. Document data models and pipelines
Role & responsibilities

Preferred candidate profile

📌 Azure Data Engineer (Hyderabad)
🏢 CGI
📍 Hyderabad