Sr Data Engineer

Sr 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.Here are a few reasons why we think you'd love working here:Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.Ad Platforms is responsible for Disney's industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney's sports, news, and entertainment content, across all media platforms.This role involves building and maintaining our Identity Householding Data products. These products serve as a comprehensive source of truth for enterprise-wide customer identifiers and their groupings. The role requires expert knowledge of building scalable, fault-tolerant data processing pipelines and backend to ensure the reliable delivery of both real-time and batch data.Responsibilities:Build and maintain product-driven initiatives to improve and expand Identity and Device data product offeringsEnhance/improve the underlying codebase to be extensible, reusable, and maintainable. Increase unit test coverage on the existing codebase.Enhance/redesign existing data models with input from Architecture in order to modernize products and/or improve performance and efficiency, and decrease costs.Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by actively participating in regular ceremonies such as stand-up, retrospectives and sprint planning.Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.Participate in on-call supportParticipate in code reviews and problem-solving.Basic Qualifications:Bachelor's degree in Computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.5+ years of related big data engineering experience modeling and developing large data pipelinesHands-on experience with distributed systems such as Databricks compute using tools/libraries such as Spark, Presto, Hive to query and process large datasets at the petabyte level.Strong Python, Scala/Spark and SQL skills processing big datasetsExperience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks)Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practicesOperational experience in multi-system/services production environment as point-of-contact / SMEProblem solving skills with strong attention to detail and excellent analytical and communication skillsSolid experience with data integration and orchestration toolsets (e.g. Airflow), CI/CDSolid experience with AWS S3Preferred Qualifications:Demonstrated ability with cloud infrastructure technologies, including Terraform.Understanding of householding algorithms and third-party data enrichment tools.