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Senior Data Engineer

1 month ago

Austin, United States University of Texas at Austin Full time

Data Engineering:Providing leadership, guidance, and execution as it relates to designing and automating scalable data integration solutions between institutional data sources, including the UT source systems, Amazon Web Services, and vendor APIsAssure performance and reliability of integration processes through monitoring, performance analysis and development of automated alerting processes.Participate in end-to-end delivery of technical projects involving design and development of advanced data pipelines for complex datasets.Work closely with business partners to design and manage data pipeline elements including load frequency, data delivery mechanisms, and transformations.Ensure that data pipeline solutions align with industry best practices, and adhere to UT security guidelines.Develop and maintain detailed technical documentation of data pipeline processes.Collaborate with key stakeholders including enterprise data architect, data modelers, data stewards, and subject matter experts (SMEs).Actively participate in improving data engineering processes and pipelines.Proactively learn about the latest technologies and emerging trends in the data engineering space that may be applicable to our work in D2I.Collaboration, Support, and Communication:Work independently and collaboratively with cross-functional teams to develop exceptional technical products that meet University needs.Effectively communicate project status, progress, risks and issues to drive projects to completion.Organize and promote productive, creative, and collaborative interactions within the Data Engineering team to brainstorm, develop, implement, and refine scalable processes for the team.Foster a supportive environment for team morale and team engagement.Provide peer coaching and guidance to junior data engineers in all aspects of their work.Participate in change management processes to coordinate and communicate team activity.