Lead Software Engineer
工作概要:
Disney Entertainment & ESPN Technology
On any given day at Disney Entertainment & 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 & ESPN Technology
Building the future of Disney’s media business: DE&E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.
Reach & 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.
Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.
About The Role
The Data Platforms Team, a segment under the Disney Entertainment & ESPN Technology (DEET) organization is looking for a Lead Software Engineer to join our Core Media Networks Data Team. Product Performance Data is critical to making product level decisions for the DEET Portfolio whether it’s related to product design, measuring advertising effectiveness, helping users discover new content or building new businesses in emerging markets. This data is deeply valuable and gives us insights into how we can continue improving our service for our users, advertisers and our content partners. Our Core Media Networks Data Engineering team is seeking a highly motivated Lead Data Engineer with a strong technical background who is passionate about designing and building systems to process data at scale to provide business value, create models and features that unlock powerful insights, and work across software and data disciplines to solve difficult unique problems at scale. Our tech stack includes AWS, Databricks, Airflow, Spark, Databricks and languages include Scala and Python.
Responsibilities
Contribute to the architecture, design and growth of our Data Products and Data pipelines in Scala and Python / Spark while maintaining uptime SLAs.
Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data cloud environments.
Implement the Lakehouse architecture, working with key partners to shift towards a Lakehouse-centric data platform.
Lead a module and be well versed with the Business functionality to support Data questions and analysis for the Business stakeholders.
Able to understand Business Use Cases/ problems and provide relevant Business & technical solutions.
Our tech stack includes AWS, Snowflake, Spark, Databricks, Delta Lake and Airflow and languages include Python, Scala.
Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions.
Maintain detailed documentation of your work and changes to support data quality and data governance.
Ensure 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 team.
Be a problem solver; when presented with new challenges, you are expected to research and network to find solutions.
Seek out answers to business problems and look for opportunities to automate processes & optimize Cost.
Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements.
Basic Requirements
At least 7 years of data engineering experience developing large data pipelines.
Strong hands-on Experience with Cloud technologies like AWS (S3, EMR, EC2) and building data pipelines.
Strong algorithmic problem-solving expertise
Strong SQL skills and ability to create queries to extract data, build performant datasets and perform Data Analysis.
Strong Hands-on experience with distributed systems such as Spark, Pyspark to query and process data.
Strong fundamental Python programming skills.
Solid experience with data integration toolsets (i.e Airflow) and writing and maintaining Data Pipelines with Databricks.
Demonstrated competency in data modeling and analysis techniques.
Strong attention to detail and excellent analytical skills
Verbal and written communication skills and ability to collaborate with others effectively.
Preferred Qualifications
Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query)
Experience in Data Modeling techniques and Data Warehousing standard methodologies and practices
Experience with Software Application development.
Good data acumen to understand domain /functional knowledge and to be able to articulate analysis of data points in business context for stakeholders.
Demonstrated excellent interpersonal skills, communication skills including ability to partner with others and build consensus in a cross-functional team toward a desired outcome.
Experience working with a test first mentality.
Deep Understanding of AWS or other cloud providers as well as infrastructure as code
Familiar with Scrum and Agile methodologies
Required Education
Bachelor’s degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
Additional Information
#DISNEYTECH
The hiring range for this position in Santa Monica, California is $152,200 to $204,100 per year, in Bristol, Connecticut is $152,200 to $204,100 per year, in Seattle, Washington is $159,500 to $213,900 per year. in New York City, NY is $159,500 to $213,900 per year, and in San Francisco, California is $166,800 to $223,600 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.
關於Disney Entertainment & ESPN Technology:
Disney Entertainment 和 ESPN Technology (DE&E Technology) 為 Disney 的兩個媒體業務部門提供技術骨幹和產品開發,同時幫助公司處於創新尖端,使公司能夠不斷利用技術增強故事講述和創造力,同時為其業務提供可擴展性、靈活性和效率
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 Disney Streaming Technology LLC,其所屬的業務部門是 Disney Entertainment & ESPN Technology。
Disney Streaming 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 及其聯營公司是推動平等就業機會的僱主,歡迎所有求職者,包括殘疾人士及殘疾退伍軍人。如你是殘疾人士,並需要合理便利安排以搜尋職位空缺或申請職位,請將要求發送至Candidate.Accommodations@Disney.com。本電郵地址不擬用於一般僱傭查詢或通訊。我們只會回應與網上申請系統殘疾人士無障礙功能相關的要求。
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