The Content Data Solutions team at Disney Entertainment & ESPN Product & Technology needs to build and maintain best-in-class data products to enable business teams to analyze and measure subscriber movements and support revenue generation initiatives. The Senior Data Engineer will contribute to designing and building data pipelines to facilitate this measurement.
Requirements
- 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.
- 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.
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)
- 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
Other
- 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.
- Bachelor’s Degree in Computer Science, Information Systems or related field, or equivalent work experience.
- Master’s Degree a plus
