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Strong employer brand, metro location, and a popular data-engineering title increase applicant competition.
Medium because core data engineering skills transfer, but academic domain and Alteryx experience add some domain sensitivity.
Medium because multiple mandatory technical skills and governance experience are required but no explicit years filter.
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Own the creation and maintenance of certified, governed core data workflows supporting Academic analytics, reporting, automation, and customer services.
Lead data modelling, transformation, ETL processes, and integration of multiple data sources using SQL, Python, and R.
Manage Alteryx Server environment and collaborate with stakeholders to ensure data quality, governance, and alignment with business requirements.
Proficiency in SQL and programming languages such as Python and R.
Experience with Git-based workflows for managing data pipelines and transformation logic.
Strong analytical and troubleshooting skills with experience in developing complex data structures.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced data professional familiar with complex academic or sales operations data environments.
Skilled at managing multiple projects and stakeholders, ensuring timely delivery of accurate datasets.
Knowledge of data governance and compliance frameworks and experienced with BI/workflow automation tools like Alteryx.