The Disney Decision Science + Integration (DDSI) team needs to develop, analyze, and execute strategies to improve the value proposition for Guests, Cast Members, and Shareholders by leveraging technology, data analytics, optimization, statistical and econometric modeling. This role will focus on developing advanced analytic data solutions, leveraging GenAI, and designing data pipelines to support these efforts across various Disney business units.
Requirements
- 7+ years overall experience in a data engineering development capacity using a multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion
- Experience with a variety of GenAI models, tools, and concepts
- 3+ years using, designing and building relational databases (preferably Snowflake or PostgreSQL)
- 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub
- 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners or UC4
- Multiple years of experience with ELT/ETL data pipeline development and maintenance
- Multiple years of shown experience and expertise using SQL and Python
Responsibilities
- Planning and leading research and development related to advanced analytic data solutions, leveraging GenAI.
- Design and deliver the data pipelines necessary for our solutions.
- Planning, estimating, design, development, testing, production rollout and sustainment activities.
- Consult and collaborate with project team members, lead design reviews, do hands-on development.
- Experience translating project scope and high-level requirements into technical data engineering tasks.
- Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes.
- Experience designing and building data structures to support requirements.
Other
- Ability to communicate technical concepts and solutions to non-technical team members
- Experience collaborating with multiple project teams in a fast-paced environment
- Experience with project and sprint planning
- Bachelor’s degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience
- Master’s degree preferred in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience
