Disney Streaming is the leading premium streaming service offering live and on-demand TV and movies, with and without commercials, both in and outside the home. Operating at the intersection of entertainment and technology, Disney Streaming has a unique opportunity to be the number one choice for TV. We captivate and connect viewers with the stories they love, and we're looking for people who are passionate about redefining TV through innovation, unconventional thinking, and embracing fun. Join us and see what this is all about.
The Product Performance Data Solutions team for the Data organization within Disney Streaming (DS), a segment under the Disney Media & Entertainment Distribution is in search of a Senior Data Engineer. As a member of the Product Performance team, you will work on building foundational datasets from clickstream and quality of service telemetry data - enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service. The Product Performance Data Solutions team is seeking to grow their team of world-class Data Engineers that share their charisma and enthusiasm for making a positive impact.
Responsibilities:
* Contribute to maintaining, updating, and expanding existing data pipelines in Python / Spark while maintaining strict uptime SLAs
* Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across all data pipelines
* Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python
* Collaborate with product managers, architects, and other engineers to drive the success of the Product Performance Data and key business stakeholders
* Contribute to developing and documenting both internal and external standards for pipeline configurations, naming conventions, partitioning strategies, and more
* Ensure high operational efficiency and quality of datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our partners (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 & Experience:
* At least 5 years of data engineering experience developing large data pipelines
* Strong algorithmic problem-solving expertise
* Strong fundamental Python programming skills
* Basic understanding of AWS or other cloud provider resources (S3)
* 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
* Some scripting language experience
* Willingness and ability to learn and pick up new skills
* Self-starting problem solver with an eye for detail and excellent analytical and communication skills
Candidates with Click stream, user browse data are highly preferred
Required Education:
| Bachelor's Degree + 5 years of relevant experience |
About Korn Ferry
Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com
