Sr Data Engineer

Senior Data EngineerTechnology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney's media business globally.The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.About The RoleThe 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.ResponsibilitiesContribute to the design and growth of our Data Products and Data Warehouses around Content Performance 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 AirflowHelp architect data solutions/frameworks and define data models for the underlying data warehouse and data martsCollaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutionsMaintain detailed documentation of your work and changes to support data quality and data governanceEnsure 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 teamBasic Qualifications5+ 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.Experience using programming languages (e.g. Python, Pyspark)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 QualificationsExperience with Snowflake, Databricks/EMR/Spark & Airflow a plus.Required EducationBachelor's Degree in Computer Science, Information Systems or related field, or equivalent work experience.Master's Degree a plus