Description

You will lead the design and implementation of data warehousing and data lakehouse architectures.

This role is hybrid.

Responsibilities

• Consult with client stakeholders to define requirements for data warehouses, data lakes, and lakehouse environments.
• Design, develop, and maintain ETL data pipelines using Azure Data Factory from on-premise and cloud sources.
• Build and manage data warehouses and data lakes within the Azure ecosystem.
• Develop data models to support business intelligence solutions and implement data warehousing best practices.
• Troubleshoot and resolve issues related to ETL processes and data connections.

Required Skills

• 10+ years of experience in data engineering roles.
• Expertise in Azure Data Factory (ADF).
• Proficiency with Azure Data Lake Storage (ADLS) Gen 2.
• Strong SQL skills for data extraction and transformation.
• Experience working with diverse data sources including Excel, SQL databases, and APIs.
• Proven ability to design and maintain complex data pipelines.
• Bachelor's degree in any field.

Preferred Skills

• Experience with SAS.
• Knowledge of Power BI.

Key Skills

Education

Any Graduate