Staff Engineer (Data Modeler)

Nagarro; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A multinational technology consulting firm in Abu Dhabi is seeking a skilled data modeler with expertise in developing semantic layers and knowledge graphs. The ideal candidate will design and implement models within a Lakehouse architecture, ensuring configurations align with best practices. The position requires excellent analytical skills and the ability to communicate effectively with teams. Interested candidates should be ready to work in a full-time position without remote options.

Qualifications

• Strong experience in data modeling for Lakehouse or data warehouse environments.
• Proficiency in semantic layer design, ontologies, and knowledge graph development.
• Familiarity with AWS Glue, Apache Iceberg, and Medallion architecture.

Responsibilities

• Design conceptual, logical, and physical data models for Medallion architecture.
• Implement dimensional modeling for analytical layers.
• Build and maintain knowledge graphs for data discovery.

Skills

Data modeling for Lakehouse

Semantic layer design

Knowledge graph development

Strong analytical thinking

Excellent communication skills

Tools

AWS Glue

Apache Iceberg

ERwin PowerDesigner

RDF OWL Neo4j

Job description

Must have Skills : AWS Glue Metadata MGT tool Data modeling tools Semantic layer tools Knowledge graph frameworks

Key Responsibilities

• Data Modeling
  • Design conceptual, logical, and physical data models for Medallion architecture (Bronze, Silver, Gold layers).
  • Implement dimensional modeling for analytical layers.
  • Apply Slowly Changing Dimensions (SCD2) and historical tracking techniques.
  • Define and enforce naming conventions, metadata standards, and maintain model documentation.
• Semantic Layer & Ontologies
  • Design and implement a semantic layer to enable business-friendly data access and self-service analytics.
  • Work with advanced AI-tooling for semantic layer deployment and integration.
  • Develop and maintain ontologies and taxonomies to standardize business concepts across domains.
  • Ensure semantic consistency across data products and reporting layers.
• Knowledge Graph Development
  • Build and maintain knowledge graphs to represent relationships between entities and enable advanced data discovery.
  • Integrate knowledge graph capabilities with Lakehouse metadata and lineage tools (e.g. OpenMetadata).
  • Collaborate with architects and platform engineers to ensure graph scalability and performance.
• Collaboration & Governance
  • Work closely with Data Architects to align models with Lakehouse design principles.
  • Partner with Data Engineers to ensure models are correctly implemented in Glue and Iceberg tables.
  • Collaborate with Data Quality teams to embed validation rules and ensure compliance.
• Optimization & Standards
  • Ensure models support schema evolution, partitioning strategies, and performance optimization.
  • Create reusable modeling templates and best practices for Data Factory squads.

Required Skills & Experience

• Technical Expertise
  • Strong experience in data modeling for Lakehouse or data warehouse environments.
  • Proficiency in semantic layer design, ontologies, and knowledge graph development.
  • Familiarity with AWS Glue, Apache Iceberg, and Medallion architecture.
  • Understanding of metadata management and lineage tools (OpenMetadata preferred).
• Tools & Technologies
  • Data modeling tools (ERwin PowerDesigner or similar).
  • Semantic layer tools (e.g., Zaimler AtScale or equivalent).
  • Knowledge graph frameworks (e.g., RDF OWL Neo4j or similar).
• Soft Skills
  • Strong analytical and conceptual thinking.
  • Excellent communication and stakeholder engagement abilities.
  • Ability to work in a fast-paced environment and deliver aggressive migration targets.
  • Strong collaboration and communication skills.
  • Work with Jira and agile way of working.

Remote Work

No

Employment Type

Full-time