Our client is seeking an experienced Data Engineer to support critical data infrastructure modernization initiatives. This role will focus on migrating legacy systems to cloud-based platforms while implementing robust data quality and governance frameworks.
Responsibilities & Qualifications
- Support migration of data from MySQL to Microsoft SQL Server and Azure data technologies
- Design and implement ETL processes and data integration solutions to ensure seamless data flow across platforms
- Develop and maintain data lineage, quality controls, and reconciliation processes to ensure data integrity
- Assist with modernization of SAS-based reporting into Power BI, translating legacy logic into modern analytics
- Implement data architecture best practices and establish governance frameworks for enterprise data management
- Leverage AI-assisted tools and automation to improve data engineering efficiency and reduce manual processes
- Collaborate with stakeholders to validate data transformations and ensure business requirements are met
Requirements
- 6–10 years of professional data engineering experience
- Strong proficiency in SQL Server and MySQL database management and optimization
- Hands-on experience with Azure data technologies and cloud-based data platforms
- Demonstrated expertise in ETL tools, data integration, and data migration projects
- Knowledge of data quality frameworks, reconciliation techniques, and data lineage concepts
- Experience with SAS and Power BI (reporting and/or analytics development)
- Strong analytical and problem-solving skills with attention to detail and data accuracy