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The Walt Disney Company
The Walt Disney Company
H1B vizos rėmėjasKelionėsMaistas ir gėrimaiSvetingumo sektorius
The Walt Disney Company yra pasaulinė pramogų įmonė, kurios veikla grindžiama pasakojimais, personažais ir svečių patirtimis. Jos veikla apima pramogų parkus ir kurortus, žiniasklaidos tinklus, kino studijas ir interaktyviąją mediją, o jos produktai ir patirtys pasiekia auditorijas visame pasaulyje įvairiose platformose ir įrenginiuose. 1923 m. įkurta „Disney“ suburia didelę tarptautinę darbuotojų komandą pramogų, svetingumo, kelionių, maisto ir gėrimų paslaugų srityse, kartu daug dėmesio skirdama vartotojų duomenų tvarkymo privatumui, skaidrumui ir atitikties reikalavimams.
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Darbai įmonėje

Data Engineer II, Disney Streaming Recommendations

Build core datasets, machine learning features, and data pipelines for Disney’s streaming recommendations. Improve personalized viewer experiences through scalable, reliable data systems.

USJungtinės ValstijosCAKalifornijaNYNiujorkasWAVašingtonas
106 900 $ – 150 100 $ / metai
HibridinisVisas etatasVidutinis lygisVyresnysis specialistasPrivaloma Kalba: anglųDuomenų inžinierius
ApacheAWSAzureCassandraDebesijaDynamoDBJavaKafkaNoSQLPythonSpark

Aprašymas

  • Create and maintain foundational datasets for machine learning models and subscriber experiences
  • Investigate, analyze, and validate varied upstream data sources and raw signals
  • Develop user and content features for recommendation systems
  • Improve existing feature quality through experimentation, analysis, and iterative development
  • Build, optimize, and maintain large-scale data processing jobs, pipelines, and workloads
  • Strengthen data quality and reliability with checks, anomaly detection, testing, monitoring, and alerts
  • Apply observability practices and join an on-call rotation supporting critical production data pipelines
  • Work with machine learning, data, and software engineers, project managers, and product managers

Reikalavimai

  • Bachelor’s degree in computer science or a related field, or equivalent work experience
  • At least 3 years of experience handling large-scale data workloads, curating datasets, and developing data pipelines and processing jobs
  • Strong Python, Java, or comparable object-oriented programming skills
  • Experience with Databricks or a comparable large-scale data processing platform
  • Knowledge of working with a public cloud provider such as AWS, Microsoft Azure, or Google Cloud
  • Experience with source control systems and CI/CD pipelines
  • Strong grounding in computer science fundamentals, including data structures, algorithms, and design patterns
  • Strong written and verbal communication skills
  • Preferred: Proficiency building data pipelines in Databricks
  • Preferred: Experience with distributed data processing frameworks such as Apache Spark
  • Preferred: Knowledge of messaging technologies such as Kafka, Kinesis, or SQS
  • Preferred: Familiarity with recommendation system architectures and industry best practices
  • Preferred: Hands-on experience with NoSQL data stores such as DynamoDB, Cassandra, or ScyllaDB
  • Preferred: Hands-on experience using AI and coding assistants to accelerate design and development

Privalumai

  • Medical, financial, and/or other benefits
  • The compensation package may include a bonus and/or long-term incentive units

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