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The Walt Disney Company: Be Part of the Story

Be Part of the Story

Senior Platform Engineer, Enterprise Data Platform

Postuler maintenant Postuler ultérieurement Employés 21CF courants et travailleurs indépendants/entrepreneurs posent leur candidature ici Identifiant de l’offre d’emploi 764502BR Emplacement Bristol, Connecticut, États-Unis; Seattle, Washington, États-Unis Entreprise Direct-to-Consumer and International Date de publication 11/08/2020

Résumé du poste:

We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on building self-serve analytics, advanced analytics using machine learning methods Deep User Understanding, Audience Segmentation for Linear to Digital Ad Sales. We need an experienced Data Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team.

The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.

Responsabilités:

  • 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.
  • ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
  • Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams

Qualifications Nécessaires:

  • Not your first rodeo – Have 4+ 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

Compétences Souhaitées:

  • Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
  • Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
  • 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.
  • Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share

Formation Requise:

  • Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience

Preferred Education

  • Masters in Computer Science or similar is preferred

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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