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Full-Time Opportunity: This is a permanent, full-time position with a competitive package and real career growth potential.
Job Description
Key Responsibilities
- Design, develop, and optimize ETL and data pipelines for large-scale data processing
- Write and optimize complex SQL queries including joins, subqueries, CTEs, window functions, and performance tuning
- Perform data transformation, validation, cleansing, and data quality checks
- Build and maintain scalable data ingestion pipelines using APIs, SFTP, Kafka, and related integration tools
- Work with large distributed datasets and ensure efficient data processing
- Design and implement graph data models including nodes, edges, and relationships
- Work with RDF data structures and semantic data frameworks
- Develop and optimize SPARQL queries for graph data retrieval and analysis
- Build and maintain knowledge graphs and ontology-driven data systems
- Automate data workflows and operational tasks using Python scripting
- Monitor, troubleshoot, and optimize pipeline performance an...