Vacancy Description
Key Responsibilities
- Design, develop, and optimize ETL/data pipelines
- Write complex SQL queries (joins, subqueries, CTEs, window functions)
- Perform data transformation, validation, and data quality checks
- Work with large-scale distributed datasets
- Build and manage data ingestion pipelines (APIs, SFTP, Kafka)
- Design and implement graph data models (nodes, edges, relationships)
- Work with RDF data structures and semantic data
- Write and optimize SPARQL queries for graph data retrieval
- Build and maintain knowledge graphs / ontology-based systems
- Automate workflows using Python scripting
- Monitor, troubleshoot, and optimize pipeline performance
Key Skills Required
- Strong Python (Pandas, NumPy, scripting)
- Advanced SQL (joins, subqueries, CTEs, window functions, optimization)
- Strong understanding of ETL processes and data p...
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