Description

You will build and maintain scalable data systems and ETL processes.

Responsibilities

• Build and maintain ETL pipelines using SSIS and Azure Data Factory.
• Engineer performant data systems to manage volume and velocity.
• Develop, implement, and optimize stored procedures and functions.
• Research data anomalies and implement automated remediation solutions.
• Integrate new technologies to optimize existing data practices.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency with SSIS for data integration tasks.
• Hands-on experience with Azure Data Factory.
• Strong knowledge of ETL development patterns and best practices.
• Experience developing and optimizing T-SQL stored procedures and functions.
• Ability to design automated solutions for recurring data issues.
• Bachelor's degree or equivalent graduate qualification.

Key Skills

Education

Any Graduate