Senior Data Engineer

Luxoft; Hyderabad; On-site; INR 1,200,000 - 2,200,000; Full time

Job summary

Luxoft seeks a Data Engineer to design, develop, and maintain AWS-based data integration solutions that transform relational data into enterprise Knowledge Graphs using Amazon Neptune. You will leverage SQL, Python, and semantic data modeling to build scalable data pipelines that support knowledge discovery and metadata management.

Responsibilities include building pipelines from relational sources to Neptune, developing RDF models and SPARQL queries, creating Python frameworks for ETL and

Qualifications

• Strong experience in SQL, Python, and semantic data modeling.
• Experience with AWS data services and Neptune knowledge graphs.
• Proficiency in RDF, SPARQL, and graph data modeling.
• Ability to design scalable data pipelines and ensure data quality and governance.

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

SQL

Python

Amazon Neptune

RDF

SPARQL

Data modeling

ETL

Data integration

Terraform

CI/CD

AWS data services

Tools

S3

Glue

Lambda

Step Functions

Athena

RDS

Job description

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. 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.

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

Must have

• Amazon Neptune (RDF Knowledge Graphs)AWS Data Services (S3, Glue, Lambda, Step Functions, Athena, RDS)SQL Development & Data ModelingPython for ETL, Data Transformation, and AutomationRDF, SPARQL, and Semantic Data ModelingRelational-to-Graph Data MigrationData Integration & Metadata ManagementData Quality, Validation, and GovernanceGraph Query Optimization & Performance TuningCI/CD and Infrastructure as Code (Terraform)

Nice to have

Ideal ProfileData 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.