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Description:
A Senior Data Engineer is needed to design and develop a centralized Data Warehouse infrastructure.
This role focuses on building scalable data solutions and optimizing ETL pipelines using Azure Data Factory.
The position ensures data integrity across multiple sources.
Key responsibilities include architecting and implementing robust data solutions on Azure.
The engineer will develop and optimize ETL processes for seamless data integration.
Maintaining data governance is essential, ensuring accuracy, reliability, and compliance.
The role involves collaboration with analysts to support Power BI reporting.
The engineer will own and maintain data documentation and models.
Requirements:
Candidates must have 5+ years of experience in Data Warehousing, specifically using the Kimball methodology.
Expertise in Azure Data Factory, Azure SQL Server, and DevOps is required.
Strong SQL skills for database management and reporting are necessary.
Experience with data modeling, integration, and performance optimization is essential.
Candidates should have Agile and DevOps experience, along with a problem-solving mindset.
Benefits:
The position offers the flexibility of remote work.
Opportunities for professional growth and development in a dynamic environment.
The chance to work with cutting-edge technologies in data engineering.
Collaboration with a team of skilled professionals in the field.