Job Description
Project Description:
nDesign, develop, and maintain AWS-based data integration solutions that transform and connect data from relational databases into enterprise Knowledge Graphs using Amazon Neptune. 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.
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nResponsibilities:
nDesign and build data pipelines to ingest and transform data from relational databases into Amazon Neptune.
nDevelop RDF models and semantic representations of enterprise data.
nCreate and optimize SQL and SPARQL queries for analytics and data retrieval.
nDevelop Python-based frameworks for data transformation, validation, and automation.
nSupport ontology-driven and metadata-centric data integration initiatives.
nEnsure scalability, reliability, and operational excellence of AWS data platforms.
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nMandatory Skills Description:




nAmazon Neptune (RDF Knowledge Graphs)
nAWS Data Services (S3, Glue, Lambda, Step Functions, Athena, RDS)
nSQL Development & Data Modeling
nPython for ETL, Data Transformation, and Automation
nRDF, SPARQL, and Semantic Data Modeling
nRelational-to-Graph Data Migration
nData Integration & Metadata Management
nData Quality, Validation, and Governance
nGraph Query Optimization & Performance Tuning
nCI/CD and Infrastructure as Code (Terraform)
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nNice-to-Have Skills Description:
nIdeal Profile
nData Engineer with robust 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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nLanguages:
nEnglish: C1 Advanced

📌 Senior Data Engineer (Hyderabad)
🏢 Luxoft
📍 Hyderabad