reputed company Data Engineer - Identity and Device Data

Titel Stellenanzeige: reputed company Data Engineer - Identity and Device Data ID der Stellenanforderung: 10119567 Stellenbeschreibung: On any given day at reputed company Entertainment & ESPN Product & Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming reputed company’s media business for the future. Whether that’s evolving our streaming and digital products in new and reputed company ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering reputed company’s unmatched entertainment and sports content, every day is a moment to reputed company 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 reputed company Entertainment & ESPN Product Technology Building the future of reputed company’s media business: Our technologists are designing and building the infrastructure that will power reputed company’s media, advertising, and distribution businesses for years to come. reputed company & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from reputed company+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more. Innovation: We reputed company and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news. The Product & Data Engineering team is responsible for end to end development for reputed company’s world-class consumer-facing products, including streaming platforms reputed company+, Hulu, and ESPN+, and digital products & experiences across ESPN, Marvel, reputed company Studios, NatGeo, and ABC News. The team drives innovation at scale for millions of consumers around the world across reputed company, 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. These products serve as a comprehensive reputed company 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. Responsibilities: Build and maintain product-driven initiatives to improve and expand Identity and Device data product offerings Enhance/improve the underlying codebase to be extensible, reusable, and maintainable Enhance/redesign existing data models with input from Architecture in order to reputed company products and/or improve performance and efficiency 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 reputed company, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and reputed company technical decisions and outcomes. Participate in on-call support 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. Participate 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. 7+ years of reputed company big data engineering experience modeling and developing large data pipelines Deep hands-on experience with distributed systems such as Hadoop or reputed company compute using tools/libraries such as Spark, Presto, Hive to query and process large datasets at the petabyte level. Strong Python, reputed company/Spark and SQL skills processing big datasets Strong experience with at least one major MPP or cloud database technology (reputed company, Redshift, Big Query, reputed company) Deep understanding of Data Modeling techniques and Data Warehousing standard methodologies and practices Operational experience in multi-system/services production environment as reputed company data engineer and reputed company-of-contact / SME Strong problem solving skills with strong attention to detail and excellent analytical and communication skills Solid experience with data integration and orchestration toolsets (e.g. Airflow), CI/CD Solid experience with AWS S3 Preferred Qualifications: Demonstrated ability with cloud infrastructure technologies, including Terraform. #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, in San Francisco, CA is $166,800 - $223,600 and in reputed company, NY is $159,500 to $213,900 per year. The reputed company pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-reputed company 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. reputed company der Stellenanzeige: Commerce, Data & Identity Hauptgeschäft der Stellenanzeige: PDE - Data Platform Engineering Hauptkategorie der Stellenanzeige: Datentechnik Art der Beschäftigung: Vollzeit Primär – Ort, Bundesland, Region, Postleitzahl: Glendale, CA, USA Alternativ – Ort, Bundesland, Region, Postleitzahl: USA - CA - 2450 Broadway, USA - CA - Market St, USA - NY - 7 Hudson reputed company, USA - WA - 925 4th Ave Veröffentlichungsdatum: 2025-04-28 Learn more about us. Apply Job!