Senior Data Engineer, Content Data Solutions
06-Dec-2024
Job Summary:
Disney Entertainment & ESPN Technology
On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.
A few reasons why we think you’d love working for Disney Entertainment & ESPN Technology
- Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.
- Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
- Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.
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About The Role
The Content Data Solutions team builds and maintains best in class data products enabling business teams to analyze and measure subscriber movements and support revenue generation initiatives. The Senior Data Engineer will contribute to the Company’s success by partnering with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics. Collaborating across disciplines, they will identify internal/external data sources, design table structure, define ETL strategy & automated Data Quality checks.
Responsibilities
- Contribute to the design and growth of our Data Products and Data Warehouses around Content Performance and Content Engagement data.
- Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)
- Our tech stack includes AWS, Databricks, Snowflake, Spark and Airflow
- Help architect data solutions/frameworks and define data models for the underlying data warehouse and data marts
- Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions
- Maintain detailed documentation of your work and changes to support data quality and data governance
- Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)
- Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team
Basic Qualifications
- 5+ years of data engineering experience developing large data pipelines.
- Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.
- Experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.
- Good understanding of SQL Engines and able to conduct advanced performance tuning.
- Ability to think strategically, analyze and interpret market and consumer information.
- Strong communication skills – written and verbal presentations.
- Comfortable working in a fast-paced and highly collaborative environment.
Preferred Qualifications
- Experience programming languages (e.g. Python, Pyspark), preferred.
- Experience with data orchestration/ETL tools (Airflow, Nifi), preferred.
- Experience with Snowflake, Databricks/EMR/Spark & Airflow a plus.
Required Education
- Bachelor’s Degree in Computer Science, Information Systems or related field, or equivalent work experience.
- Master’s Degree a plus.