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 busine...