onsite
Data Engineer - Semantic Modeler
Data Engineer
Data Engineer focused on building semantic models and orchestrating data pipelines using AWS, Airflow, and Azure services, ensuring efficient data storage and accessibility across enterprise platforms.
About the role
Key Responsibilities
- Design, develop, and maintain semantic data models to support business analytics and reporting.
- Build and manage data pipelines with Airflow, integrating AWS and Azure services.
- Implement data ingestion, transformation, and storage solutions using Azure Blob Storage and AWS data services.
- Collaborate with data scientists and business stakeholders to translate requirements into scalable data architectures.
- Optimize performance, monitor pipeline health, and troubleshoot issues across multi-cloud environments.
Requirements
- Proven experience as a Data Engineer with strong knowledge of semantic modeling concepts.
- Hands‑on expertise in AWS, Azure, and Azure Blob Storage.
- Proficiency with Airflow for workflow orchestration.
- Solid understanding of Entity Framework or similar ORM tools.
- Strong analytical skills and ability to translate business needs into technical solutions.