The Lead Data Engineer will build and maintain Identity and Device data products, serving as a comprehensive source of truth for customer identifiers and devices.  This role requires expertise in building scalable, fault-tolerant data processing pipelines and backend for real-time and batch data delivery. Responsibilities include enhancing data product offerings, improving the codebase, redesigning data models, promoting Agile methodologies, collaborating with stakeholders, providing on-call support, mentoring junior engineers, and participating in code reviews. The ideal candidate possesses deep experience with big data engineering, distributed systems (Hadoop, Databricks), and MPP databases (Snowflake, Redshift, BigQuery, Databricks).

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy. Follow @DisneyCareers on Facebook, Twitter and Instagram for a peek behind-the-curtain, and discover how you could connect to a world of stories with Disney!

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 <h4>Job Summary:</h4> 
 <div class="additional-field-value-razor"><h2>About Disney Entertainment &amp; ESPN Product &amp; Technology</h2>On any given day at Disney Entertainment &amp; 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 &amp; ESPN Technology<ul><li>Building the future of Disney’s media business: DE&amp;E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.</li><li>Reach &amp; 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.</li><li>Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment &amp; news.</li></ul>The Product &amp; Data Engineering team is responsible for end to end development for Disney’s world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+, and digital products &amp; experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC News. The team drives innovation at scale for millions of consumers around the world across Apple, Android, Smart TVs, game consoles, and the web, with our platforms powering core experiences like personalization, search, messaging and data.This role involves building and maintaining our Identity and Device Data products.&nbsp; These products serve as a comprehensive source of truth for customer identifiers and their devices. 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.<h2>Responsibilities</h2><ul><li>Build and maintain product-driven initiatives to improve and expand Identity and Device data product offerings</li><li>Enhance/improve the underlying codebase to be extensible, reusable, and maintainable</li><li>Enhance/redesign existing data models with input from Architecture in order to modernize products and/or improve performance and efficiency</li><li>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.</li><li>Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.</li><li>Participate in on-call support</li><li>Serve as an advanced resource to other Data Engineers on the team, and mentor and coach junior members of the team helping to improve their skills, knowledge, and productivity.</li><li>Participate in code reviews and problem-solving.</li></ul><h2>Basic Qualifications</h2><ul><li>Bachelor's degree in Computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.&nbsp;</li><li>7+ years of related big data engineering experience modeling and developing large data pipelines</li><li>Deep hands-on experience with distributed systems such as Hadoop or Databricks compute using tools/libraries such as Spark, Presto, Hive to query and process large datasets at the petabyte level.</li><li>Strong Python, Scala and SQL skills processing big datasets</li><li>Strong Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks)</li><li>Deep understanding of Data Modeling techniques and Data Warehousing standard methodologies and practices</li><li>Operational experience in multi-system/services production environment as lead data engineer and point-of-contact / SME</li><li>Strong problem solving skills with strong attention to detail and excellent analytical and communication skills</li><li>Solid experience with data integration and orchestration toolsets (e.g. Airflow), CI/CD</li><li>Solid experience with AWS S3</li></ul><h2>Preferred Qualifications</h2><ul><li>Demonstrated ability with cloud infrastructure technologies, including Terraform.</li></ul><h2>Additional Information</h2>#DISNEYTECH The hiring range for this position in Santa Monica, CA is $152,200 to $204,100 per year, in Seattle, WA is $159,500 to $213,900 per year, and in New York, NY is $159,500 to $213,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.</div>
 
 
 
 
 
 
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Lead Data Engineer