Disney Entertainment and ESPN Product & Technology is looking to scale automation and enhance quality across diverse systems in Ads, Data, and eCommerce domains. This role will focus on building robust test automation frameworks and quality processes tailored to each team's unique needs to ensure relevant, timely, and high-quality advertisements, integrity and performance of large-scale data pipelines, and seamless shopping experiences.
Requirements
- Strong proficiency in SQL and Python with the ability to validate large datasets.
- Experience with Snowflake, Databricks, Spark, Airflow, or similar tools.
- Proven ability to build and scale automated data testing frameworks.
- Strong problem-solving and debugging skills; able to anticipate and prevent data issues.
- Experience with BDD frameworks (e.g., Behave)
- Experience working in AWS or other cloud environments
- Familiarity with open-source data quality tools like Deequ, Great Expectations, or similar custom frameworks
Responsibilities
- Lead the design and implementation of test strategies for complex data pipelines and business logic.
- Collaborate with cross-functional teams to ensure scalable, testable data solutions.
- Architect and evolve automated testing frameworks across batch and streaming data.
- Define and enforce best practices for testing, monitoring, and CI/CD in data workflows.
- Own and drive strategic data quality initiatives, including stakeholder alignment and execution.
- Introduce and evaluate tools and frameworks to enhance test coverage and automation.
- Write codes that establishes and enhances frameworks.
Other
- 7+ years of relevant experience
- Experience leading strategic initiatives and/or managing engineering team members.
- Mentor engineers, conduct code/test reviews, and support team development.
- Manage direct reports as needed, including coaching, planning, and performance support.
- Hybrid role requiring 4 days onsite
