The Sr. Data Engineer will work as part of the Enterprise Data Integration team under the direction of the Enterprise Data Integration Manager.  The position relies on experience and judgment to support, enhance and create ETL processes, requiring a broad degree of independence, knowledge and problem solving skills.

 

The ideal candidate for the Sr. Data Engineer position is a technical resource that has experience building comprehensive data integration solutions representing data from relational and analytical source systems or models, analyzing complex SQL and Python code, and creating and optimizing batch application workloads.  

This role is required to transform data according to Business Rules and MDM and to work with the Enterprise Data Management team to assure attributes are properly governed and loaded into Cloud and operational models.  

The role is  also required to analyze sources of data, determine optimal data integration methodologies, map and model to relational and analytical layer data models, identify enhancements, and other needs relative to the Enterprise Data Integration space.  

The role additionally has input into the Enterprise Data Integration architecture, procedures and workflow. The role is expected to have a strong business acumen in order to provide effective and efficient solutions.  Individuals in this role are expected to have a strong ability to multitask on various projects and priorities and keep them all moving forward.  The role influences others in IT through sharing of specialized technical knowledge and mentors junior developers and reporting analysts in proper techniques, procedures and code performance adjustments. This role is expected to support and expand a culture of operational excellence.