Description

You will lead data engineering initiatives using Azure native services and end-to-end data processing.

Responsibilities

• Direct the implementation of data migration and processing workflows using Azure native services.
• Design and implement database schemas and dimensional data models.
• Develop data integration pipelines using Databricks within the Azure Cloud ecosystem.
• Apply data warehouse best practices and development standards to all engineering tasks.
• Manage end-to-end delivery independently.

Required Skills

• 5+ years of experience in data engineering roles.
• Extensive experience with Azure Data Factory and ADLS.
• Hands-on expertise with Azure Synapse, Azure SQL DB, and Microsoft Fabric.
• Proven ability in SQL, specifically schema design and dimensional data modelling.
• Strong experience with Azure Cloud data integration using Databricks.
• Deep understanding of data warehouse methodologies and development standards.
• Bachelor's degree or equivalent graduate-level education.

Key Skills

Education

Any Graduate