Senior Data Engineer

Навыки

• AWS
• CI/CD
• Data Quality
• ETL / ELT
• Оптимизация производительности
• Python
• Оптимизация запросов

Задачи

• 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
• Project description
• Design, develop, and maintain AWS-based data integration solutions that transform and connect data from relational databases into enterprise Knowledge Graphs using Amazon Neptune

Требования

• 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)
• The role requires strong expertise in SQL, Python, and semantic data modeling to deliver scalable, high-quality data pipelines and graph-based data solutions that enable knowledge discovery, metadata management, and cross-domain data integration

Будет плюсом

• Ideal Profile
• 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

Паспорт вакансии

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