The Studio Technology group at Walt Disney Studios comprises intentional teams providing scalable, secure, and innovative technology solutions to enable the present and future of cinematic storytelling. As part of the Studio’s Data Services team, you’d join passionate, focused technologists who solve crucial problems within the dynamic and expanding media industry. We store, analyze, report, and visualize data and insights for everything from the financial engines that keep the Studio running to marketing and consumer applications that touch millions of people, to production data that supports the creation of Disney's wide array of films and series. We’re looking for a Sr. Data Engineer to help us grow the impact of our team.
- Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines
- Build tools and services to support data discovery, lineage, governance, and privacy
- Collaborate with other software/data engineers and cross-functional teams
- Tech stack includes Airflow, Spark, Databricks, Delta Lake, and Snowflake
- Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform
- Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more
- Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)
- Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
- Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements
- Maintain detailed documentation of your work and changes to support data quality and data governance requirements
Required Skills
- 5+ years of data engineering experience developing large data pipelines
- Proficiency in at least one major programming language (e.g. Python, Java, Scala)
- Strong SQL skills and ability to create queries to analyze complex datasets
- Hands-on production environment experience with distributed processing systems such as Spark
- Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
- Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query).
- Experience in developing APIs with GraphQL
- Deep Understanding of AWS or other cloud providers as well as infrastructure as code
- Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
- Strong algorithmic problem-solving expertise
Preferred Qualifications: Previous experience working with Power BI or other analytics visualization tool