The Walt Disney Company is looking to solve business problems by developing, analyzing, and executing strategies to improve the value proposition for Guests, Cast Members, and Shareholders using technology, data analytics, optimization, statistical and econometric modeling.
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
- designing and delivering the data pipelines necessary for solutions
- partnering with the Decision Science Products, Decision Science, and client teams on critical projects
- planning, estimating, design, development, testing, production rollout and sustainment activities
- consulting and collaborating with project team members
- leading design reviews
- hands-on development
Other
- 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
- 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
