Disney Streaming Services is a place for the creative and the bold. Whether New York City, San Francisco, Manchester or Amsterdam, we provide opportunities to elevate your career and transform the industry. Software Engineers at Disney Streaming Services develop premium digital media products for Major League Baseball and our partners. The products we build, such as ESPN+, MLB.TV and NHL.TV are paving the way for the next-generation media and sport technologies, including the upcoming Disney+ offering. Our Engineering team for Disney Streaming Services is headquartered in the Chelsea area of New York City. Other office locations also include the SoMo area of San Francisco, CA and several international locations. At Disney Streaming Services, data is central to measuring all aspects of the business, and critical to its operations and growth. The data engineering team is responsible for collecting, analyzing and distributing data using public cloud and open source technologies and offers transparency into customer behavior and business performance. If you are interested in joining Disney Streaming Services in the pursuit of not only crafting new media products but enjoying the products you build, we are interested in hearing from you. Responsibilities : Collaborate with product teams, data analysts and data scientists to design and build data-forward solutions Design and build and deploy streaming and batch data pipelines capable of processing and storing petabytes of data quickly and reliably Integrate with a variety of data metric providers ranging from advertising, web analytics, and consumer devices Build and maintain dimensional data warehouses in support of business intelligence tools Develop data catalogs and data validations to ensure clarity and correctness of key business metrics Drive and maintain a culture of quality, innovation and experimentation Coach data engineers best practices and technical concepts of building large scale data platforms Basic Qualifications : 3-5 years of experience developing in object oriented Python Experience deploying and running AWS-based data solutions and familiar with tools such as Cloud Formation, IAM, Athena, and Kinesis Experience engineering big-data solutions using technologies like EMR, S3, Spark and an in-depth understanding of data partitioning and sharding techniques Familiar with metadata management, data lineage, and principles of data governance Experience loading and querying cloud-hosted databases such as Redshift and Snowflake Building streaming data pipelines using Kafka, Spark, or Flink Preferred Qualifications: Familiarity with binary data serialization formats such as Parquet, Avro, and Thrift Experience deploying data notebook and analytic environments such as Jupyter and Databricks Knowledge of the Python data ecosystem using pandas and numpy Experience building and deploying ML pipelines: training models, feature development, regression testing Experience with graph-based data workflows using Apache Airflow Required Education : Bachelor’s degree in Computer Science or related field or equivalent work experience

At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, Parks & Resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. Imagine yourself as a Data Analyst with HR Data Operations where your natural passion for working with data and partnering with others who share that passion for data will help to ensure the company is enabled to make smart business decisions with the best possible human resources data. In this role, you will be able to blaze new paths in this data rich environment through managing the integrity, efficiency, and availability of data. You will have the chance to leverage your expertise and knowledge to maximize the Company’s investment in our employees through complex analysis, compelling storytelling, and creative solutions. You have a curiosity that leads you to always ask, “What’s possible?” and you have the ability to bring those concepts to reality in everything you touch from data integration design to implementation of new policy. Responsibilities : Perform data profiling and database structure research in order to understand relevant data elements along with their definitions and use. Document and maintain data standards, partnering with functional and business data owners to map existing HR data structures, usage, and common definitions Partner within and across People Insights as well as Enterprise Business Systems to translate functional requirements into data needs for development Partner with data developers to implement and validate data infrastructure enhancements Provide consultative support for HR clients on questions regarding data and relationships along with delivering creative solutions to data related problems. Basic Qualifications : You are passionate about the benefits of accurate and actionable data, you drive consistency and enjoy partnering with others to accomplish the task You are proficient in SQL with a thorough understanding of data and systems' infrastructures You are a solutions-oriented critical thinker You have deep technical knowledge and experience in data management, data quality, and/or data governance You demonstrate the ability to translate business issues and requirements into actionable plans, and to deliver against those plans You have the exceptional ability to make timely and effective decisions to meet fluid deadlines You have the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight You can effectively handle and maintain confidential information

Comprised of Disney’s international media businesses and the Company’s various streaming services, the Direct-to-Consumer and International (DTCI) segment aligns technology, content and distribution platforms to expand the Company’s global footprint and deliver world-class, personalized entertainment experiences to consumers around the world. The Walt Disney Company’s Direct-to-Consumer and International segment (DTCI) is a global, multiplatform media, technology and distribution organization for high-quality content created by Disney’s Studio Entertainment and Media Networks groups. DTCI includes Disney’s international media operations and the Company’s direct-to-consumer businesses globally, including the upcoming Disney-branded direct-to-consumer streaming service, the Company’s ownership stake in Hulu, and the ESPN+ sports streaming service, programmed in partnership with ESPN. BAMTECH Media, developer of the ESPN+ and Disney-branded streaming platforms, oversees all consumer-facing digital technology and products across the Company as part of the Direct-to-Consumer and International segment. The Data Quality team partners with the Product Management and Engineering functions of the Data Platform team as well as with legal, privacy and the industry group to ensure consistent, trustworthy data across all of DTCI and TWDC. The group creates strategy designed to ensure quality data that is also secure and compliant with internal and legal standards. The group works with other groups within the DTCI technology organization to implement the data quality strategy within platform components, reporting and analytics, tools and compliance standards.· This Director, Data Quality is a leadership position within the Data Platforms group of The Walt Disney Company’s Direct-to-Consumer and International Technology (DTCI) division. This role reports to the Senior Vice President, Data Platforms. Responsibilities : Providing leadership for the data quality and governance strategy and analysis functions within the DTCI Data Platforms team. This includes working with existing data governance functions within The Walt Disney Company as well as developing the data governance strategy, policies and standards, and key risk metrics. Partner with the Vice President, Data Platforms Product Management and Vice President, Data Platforms Engineering on the product strategy, platform capabilities, tools and deliverables necessary to imbue the platform the proper set of complete, compliant and secure data Presenting within the technical domain to and partnering with individual engineers, analysts andexecutives. Defining and delivering against data governance policies and procedures in a federated and complex organizational construct using a combination of influence and authority to execute broad strategic objectives. Educate and influence senior technology and business leadership in the data quality domain, articulating conceptual ideas and their impact to a widely divergent audience using excellent verbal, written, and listening skills. Specific Responsibilities: Define the data quality strategy and liaise to ensure proper implementation Define and implement data governance structure, policies and procedures and ensure compliance; implement control functions and KPIs to monitor compliance Ensure rigorous data management standards. Identify and address existing data quality issues and implement road maps for tactical and strategic enhancements Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures Define and implement detailed standards, aligned to support all underlying data systems Ensure compliance with regulatory requirements related to user data. Document the security and privacy requirements for different categories of TWDC and DTCI data Basic Qualifications : Experience with data warehouse, database and data management concepts, processes, tools and technologies including BI, Big Data, ETL and MPP databases preferred Excellent communication skills (oral and written) and organizational skills Able to communicate at multiple levels ranging from front-line personnel to C-level executives Demonstrates deep understanding of database related audit and compliance goals and processes Must possess the proven ability to assess information security, policies and procedures and operational risk Background in data and information management projects, operating in a highly complex and regulated environment Develop data classification standards. Oversee data classification, definition, and proactive data quality. Build an awareness program and implement the policies. Integrate data classification standards into related policies and procedures Ensure compliance with regulatory requirements related to user data Required Education : Bachelor’s degree, with equivalent work experience in MIS, Computer Science or related discipline.