Senior Data Engineer

Luxoft; Dadri; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Luxoft is seeking 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 work with SQL, Python and semantic data modeling to deliver scalable, high-quality data pipelines.

Responsibilities include building data pipelines, developing RDF models, crafting SQL and SPARQL queries, and implementing Python-based transformation frameworks.

Qualifications

• Experience with Amazon Neptune RDF graphs and SPARQL.
• Strong SQL development and data modeling skills.
• Python for ETL, data transformation, and automation.
• Experience with AWS data services (S3, Glue, Lambda, Step Functions, Athena, RDS).
• Knowledge of RDF, SPARQL, and semantic data modeling.
• Data migration from relational to graph databases.
• Experience with data quality, governance, and metadata management.
• CI/CD and infrastructure as code (Terraform).

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 Development

Python programming

Semantic data modeling

ETL

Data integration

RDF

SPARQL

Data governance

Terraform

CI/CD

Tools

Amazon Neptune

AWS Data Services (S3, Glue, Lambda, Step Functions, Athena, RDS)

SQL

Terraform

CI/CD pipelines

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.