Universal Orlando Resort believes in-person collaboration is key to our success. Many of our Team Members work in a hybrid capacity, contributing from the workplace a minimum of three days per week. There are also roles that require being on-site full time. Limited remote opportunities may be available within specific departments. You’ll learn more about this during the recruitment process.
Responsible for building automated data processes for combining internal and external data sources and prepping data for use in Revenue Management modeling as well as key performance indicator (KPI) forecasting initiatives. The data engineer will develop code, prep data (structured and unstructured) and setup business rules for analysis and modeling that meets standardization requirements and focuses on efficiency, scalability, and reproducibility. The data engineer will also be responsible to collaborate with vendors, IT and data tools for data ingestion, processing, and taxonomy standardization.
- Develop and Improve System and Module Script Efficiency and Functionality while partnering with internal and external partners for requirements and ideation
- Automate data preparation jobs for analysis and modeling projects
- Develop data prep guidelines and standards and serve as a subject matter expert in data engineering
- Define and produce deliverables that identify opportunities to shape robust data processes and analytical measurement capabilities that inform and inspire internal stakeholders and decision makers
- Engage with internal partners to gather requirements and collaborate with technology engineers, architects, and data scientists to design a robust analytical data solution
- Understand and actively participate in Environmental, Health & Safety responsibilities by following established UDX policy, procedures, training, and team member involvement activities.
- Perform other duties as assigned.
- Bachelor’s degree in Computer Science/Engineering/Data Science (or in a quantitative discipline or related field) required.
- Master’s degree in Computer Science/Engineering/Data Science (or in a quantitative discipline or related field) preferred.
- 3+ years in Data Engineering or comparable role
- Strong experience with the Microsoft Power Platform (Power Automate and Power Apps)
- Strong experience with Python and advanced SQL scripting
- Experience defining, documenting, and developing best practices, processes and standards related to data engineering for advanced analytics purpose.
- Preferred: Understanding of machine learning algorithms and ability to work with data scientists in deployment and maintenance of production level models.
Your talent, skills and experience will be rewarded with a competitive compensation package.
Universal is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Universal Orlando via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Universal Orlando HR/Recruitment will be deemed the sole property of Universal Orlando. No fee will be paid in the event the candidate is hired by Universal Orlando as a result of the referral or through other means.
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