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The Walt Disney Company: Be Part of the Story

Be Part of the Story

Customer Solutions Engineering Data Engineer II

Postuler maintenant Postuler ultérieurement Employés 21CF courants et travailleurs indépendants/entrepreneurs posent leur candidature ici Identifiant de l’offre d’emploi 763796BR Emplacement Burbank, Californie, États-Unis Entreprise Direct-to-Consumer and International Date de publication 27/07/2020

Résumé du poste:

Direct-to-Consumer-and-International (DTCI) is Disney’s global, multiplatform media, product, technology, and distribution organization for world-class content. DTCI is comprised of Disney’s international media and direct-to-consumer businesses globally, including all Disney networks outside of the US, the ESPN+, D+ and the Company’s ownership stake in Hulu. The DTCI Tech organization focuses on providing ground-breaking innovation and driving the strategic use and development of technology to power the DTCI business, deliver world-class products and experiences to consumers around the world. The Data Platform group within DTCI Tech, is charged with developing a consolidated data platform that supports DTCI business stakeholders with the means to access, activate and analyze all of Disney’s consumer data in a secure and compliant way.

The Customer Solutions Engineering team is responsible for product adoption, onboarding, development, and sustainment support for the Data Platform suite of products.
  • Technical Leadership - Primary technical resource for onboarding new products to the Data Platform
  • Build cool things – Build scalable analytics solution, including data processing, storage, and serving large-scale data through batch and stream, analytics for both behavioral & ad revenue through digital & non-digital channels
  • Harness curiosity – Change the way how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery
  • Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action
  • Think at scale - Lead the transformation of a peta-byte scale batch-based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks
  • Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing using Python, Java, Scala and other database technologies such as RedShift or Snowflake
  • Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous
  • Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers
  • Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams
  • Experiment - Drive and maintain a culture of quality, innovation and experimentation


  • Have 2+ years of experience developing data driven application using mix of languages (Java, Scala, Python, SQL etc.) and open source frameworks to implement data ingest, processing, and analytics technologies
  • Data and API ninja –You are also very handy with big data framework such as Hadoop, Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services
  • Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Airflow, Apache Druid, Snowflake (or any other OLAP databases)
  • Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud
  • Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
  • Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly
  • Passion and creativity – Are passionate about data, technology, & creative innovation
  • Strive for Operational Excellence - Continually strives to deliver operational excellence by leveraging the deep understanding of the end to end use cases to assist the teams with test automation, creation of synthetic tests and production support
  • Ongoing support - Provides documentation, training and support for teams managing the platforms
  • Process improvements - Assist in the continual evolution of the team's processes and metrics to make the team more efficient, and increase the value-add to the organizations we support

Qualifications Nécessaires:

  • 2+ years of relevant software development experience
  • 2+ years of cloud application architecture and engineering
  • Experience developing data driven application
  • Excellent communication (written and verbal); ability to communicate with other developers as well as business units and internal stakeholders
  • Basic Knowledge and understanding of Application Lifecycle Management, Software Development and Agile Development/Testing practices and methodologies
  • Basic Knowledge of common performance issues, as well as a solid working knowledge of logs, monitoring tools, and work with developers to determine a root cause
  • Demonstrated ability to work independently as well as part of a cross-functional team
  • Ability to work and participate in a team with open and collaborative style of communications
  • Must be a proactive, self-starter

Compétences Souhaitées:

  • Bachelors/Masters in Computer Science or similar is preferred
  • Knowledge of consumer identity and big data platforms
  • Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
  • Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Kubernetes
  • Experience in working with Data Scientists to operationalize machine learning models

Sur Direct-to-Consumer and International:

Fondé sur les agences médias internationales et l’éventail de services de streaming de Disney, la division Direct-to-Consumer and International associe harmonieusement technologie de pointe, contenus et plateformes de distribution pour consolider l’empreinte mondiale de Disney et offrir des expériences de divertissement très personnalisées de classe internationale aux consommateurs du monde entier. Cette division est en charge des produits et services s’adressant directement aux consommateurs à l’échelle mondiale, dont le service de sport en streaming ESPN+, programmé en partenariat avec ESPN ; le service bientôt disponible de streaming de la marque Disney s’adressant directement aux consommateurs ; et Hulu dont Disney détient des parts. Partie intégrante de la division Direct-to-Consumer and International, Disney Streaming Services est à l’origine du développement des plateformes de streaming ESPN+ et de marque Disney, et supervise l’ensemble des technologies et des produits numériques destinés aux consommateurs à l’échelle de l’entreprise.

Sur The Walt Disney Company:

The Walt Disney Company, avec ses filiales et ses sociétés affiliées, est une grande société internationale et diversifiée de divertissement familial et de médias couvrant les secteurs d’activités suivants : réseaux de médias, parcs et centres de vacances, studio de divertissements, produits de consommation et médias interactifs. Depuis ses modestes débuts en tant que studio de dessins animés dans les années 20 jusqu’à son statut de référence dans l’industrie du divertissement d’aujourd’hui, Disney poursuit fièrement sa tradition de création d’histoires et d’expériences exceptionnelles pour tous les membres de la famille. Les histoires, les personnages et les expériences de Disney touchent les consommateurs et les visiteurs du monde entier. À travers nos activités présentes dans plus de 40 pays, nos employés et cast members collaborent pour créer des expériences de divertissement appréciées à la fois au niveau universel et local.

Le poste est rattaché à Disney Streaming Technology LLC , qui fait partie du secteur d’activité que nous appelons Direct-to-Consumer and International.

Disney Streaming Technology LLC est un employeur qui souscrit au principe d’égalité des chances. Les candidat(e)s seront pris(es) en considération pour l’emploi sans considération de race, de couleur, de religion, de sexe, d’origine nationale, d’orientation sexuelle, d’identité sexuelle, de handicap ou de statut d’ancien combattant protégé. Disney favorise une culture commerciale où les idées et décisions de tous et toutes nous aident à grandir, innover, créer les meilleures histoires et être pertinents dans un monde en évolution rapide.

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