Data and Knowledge Engineer

Job Summary We are looking for a Data and Knowledge Engineer with strong hands-on experience in data engineering, knowledge graphs, and semantic technologies. The ideal candidate will design and build scalable data pipelines and knowledge graph solutions that enable advanced analytics, semantic search, and AI-driven insights across enterprise data platforms. Key Responsibilities • Design, build, and maintain scalable ELT/ETL data pipelines using Python and modern data engineering frameworks. • Develop and optimize data ingestion, transformation, and orchestration workflows for structured and semi-structured data sources. • Implement and manage Snowflake data models, performance tuning, and cost optimization. • Design, build, and maintain Knowledge Graphs using Stardog and GraphDB. • Develop and optimize SPARQL queries for semantic search, inference, and analytics use cases. • Implement R2RML mappings to transform relational data into RDF for knowledge graph ingestion. • Integrate enterprise data pipelines with semantic and graph-based systems. • Collaborate with data scientists, AI engineers, and business stakeholders to enable graph-powered analytics and AI applications. • Ensure data quality, lineage, governance, and metadata management across data and knowledge platforms. • Support production systems with monitoring, troubleshooting, and performance optimization.