Sr Data Product Engineer
工作概要:
As a Senior Data Product Engineer, you will play a critical role in the end-to-end lifecycle of our data products. You'll blend deep data engineering expertise with a keen product mindset, architecting and building reusable data assets that meet the needs of diverse internal consumers, from business analysts to data scientists.
You'll be at the forefront of implementing cutting-edge cloud technologies and data modeling techniques to ensure our data infrastructure is robust, performant, and future-proof. This role is for someone who loves to build, optimize, and drive tangible value from data.
What You'll Do
- Design & Build Data Products: Lead the full lifecycle development of data products, including requirements gathering, architectural design, implementation, testing, and deployment. Ensure data products are discoverable, well-documented, and adhere to strict data quality standards.
- Strategic Data Modeling: Apply a pragmatic combination of Domain-Driven Design (DDD) principles to deeply understand core business contexts and translate them into robust, Kimball-inspired dimensional models that power our data products within Snowflake.
- Real-time Data Processing: Architect and implement highly efficient, event-driven data pipelines using AWS Kinesis for data ingestion and stream processing, leveraging AWS Lambda for serverless transformations and real-time data delivery.
- Advanced Data Transformation: Develop, optimize, and maintain complex SQL-based data transformations using dbt (Data Build Tool) within our Snowflake data platform, ensuring modularity, testability, and version control for all data models.
- AI/ML Data Enablement: Collaborate closely with our AI/ML workbench to design and build data products specifically tailored for machine learning initiatives, including feature engineering, data preparation, and ensuring data readiness for model training and inference.
- Operational Excellence: Establish and enforce best practices for data governance, metadata management, data lineage, and data observability to ensure the reliability and integrity of our data products.
What You'll Bring
- Experience: 5+ years of hands-on experience in data engineering, data warehousing, or a similar role, with a strong focus on building scalable and robust data solutions.
- Technical Prowess:
- Expert-level proficiency with Snowflake for data warehousing, performance tuning, and query optimization.
- Proficiency in SQL, Java, dbt (Data Build Tool) and modern data platforms (Snowflake, AWS, GCP) for data modeling, transformation, testing, and documentation.
- Extensive experience with AWS Lambda and AWS Kinesis for serverless and real-time data processing architectures (CI?CD).
- Strong programming skills in Python (preferred) for data manipulation, scripting, and automation.
- Proven experience in designing and preparing data for AI/ML applications.
- Data Modeling & Architecture: Deep practical understanding and application of both Kimball's dimensional modeling methodologies and Domain-Driven Design (DDD) concepts in complex data environments.
- Product Mindset: A genuine passion for treating data as a product, understanding user needs, defining data contracts, and delivering measurable value through high-quality data assets.
- Communication: Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
- Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
#DISNEYTECH
The hiring range for this position in Washington is $145,500 to $195,00 per year and in California is $138,900 to $186,200 per year based on a 40 hour work week. The amount of hours scheduled per week may vary based on business needs. 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.
關於Disney Experiences:
Disney Experiences 透過世界各地的主題公園、度假村、郵輪、獨特的度假體驗、產品等,將迪士尼故事和特許經營權的魔力帶入生活。迪士尼在旅遊業中大放異彩,在美國、歐洲和亞洲擁有六大度假勝地;一流的郵輪航線;廣受歡迎的度假擁有權計劃;以及屢獲殊榮的家庭探險導遊業務。此外,迪士尼的全球消費品業務還包括全球領先的授權業務、全球最大的兒童出版品牌、全球最大的跨平台遊戲授權商之一,以及遍佈全球和網絡的迪士尼商店。
關於 The Walt Disney Company:
Walt Disney Company 連同其子公司和聯營公司,是領先的多元化國際家庭娛樂和媒體企業,其業務主要涉及三個範疇:Disney Entertainment、ESPN 及 Disney Experiences。Disney 在 1920 年代的起步之初,只是一間卡通工作室,至今已成為娛樂界的翹楚,並昂然堅守傳承,繼續為家庭中每位成員創造世界一流的故事與體驗。Disney 的故事、人物與體驗傳遍世界每個角落,深入人心。我們在 40 多個國家/地區營運業務,僱員及演藝人員攜手協力,創造全球和當地人們都珍愛的娛樂體驗。
這個職位隸屬於 Walt Disney Attractions Technology LLC,其所屬的業務部門是 Disney Experiences。
Walt Disney Attractions Technology LLC 是提供平等就業機會的僱主。求職者都會獲得聘僱考量的機會,不分種族、宗教、膚色、生理性別、性傾向、社會性別、性別認同、性別表達、原國籍、血統、年齡、婚姻狀態、軍人或退伍軍人身份、醫療狀況、遺傳資訊或殘疾狀況、或者聯邦、州級或地方法律所禁止的其他任何基本特徵。Disney 提倡讓所有人的想法和決策都有助我們發展、創新、創造最好故事的商業環境,並與瞬息萬變的世界息息相關。
就業申請的殘疾便利安排
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.
遇到技術問題?查看常見問題以尋求協助。
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相關工作
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- Manager, Data Product Engineering Disney Experiences 10139874 奧蘭多, 佛罗里达州 / 格倫代爾, 加利福尼亚州 / 西雅圖, 华盛顿州 / 安那罕, 加利福尼亚州 申請
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