Note: The job is a remote job and is open to candidates in USA. Luxoft is seeking a Senior Data Engineer to design, develop, and maintain AWS-based data integration solutions. The role focuses on building pipelines that transform relational data into Amazon Neptune enterprise Knowledge Graphs, developing semantic data models, and enabling scalable data integration, metadata management, and knowledge discovery.
Responsibilities
- Design and build data pipelines to ingest and transform data from relational databases into Amazon Neptune
- Develop RDF models and semantic representations of enterprise data
- Create and optimize SQL and SPARQL queries for analytics and data retrieval
- Develop Python-based frameworks for data transformation, validation, and automation
- Support ontology-driven and metadata-centric data integration initiatives
- Ensure scalability, reliability, and operational excellence of AWS data platforms
Skills
- Amazon Neptune (RDF Knowledge Graphs) AWS Data Services (S3, Glue, Lambda, Step Functions, Athena, RDS) SQL Development & Data Modeling Python for ETL, Data Transformation, and Automation RDF, SPARQL, and Semantic Data Modeling Relational-to-Graph Data Migration Data Integration & Metadata Management Data Quality, Validation, and Governance Graph Query Optimization & Performance Tuning CI/CD and Infrastructure as Code (Terraform)
- Data Engineer with strong SQL and Python skills, hands-on AWS experience, and practical expertise in Amazon Neptune, RDF, and SPARQL
- Proven ability to deliver data migration and integration solutions that bridge traditional relational systems with enterprise Knowledge Graph platforms
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