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The Walt Disney Company

This is the official recruitment and careers portal for The Walt Disney Company, providing a centralized hub for individuals to explore job opportunities across its entertainment, media, and park divisions. The platform hosts a wide range of listings, from corporate and creative roles to internships and seasonal positions within the Disney, Pixar, Marvel, and ESPN brands. Users can utilize the site to search for global vacancies, learn about the company’s organizational culture, and apply for roles that support the creation of Disney’s world-renowned storytelling and guest experiences.

As a Senior Data Engineer, you will be responsible for writing and reviewing code, contributing to technical decisions, and mentoring engineers in your squad. You will be empowered to contribute to technical and architectural decisions, and to influence the roadmap for your squad, working in partnership with your local leader, your squad, and your peers across Product, Project Management and Engineering. You will contribute to and be part of an engaging, dynamic and inclusive engineering organisation, grounded in scrum and agile practices, CI/CD, great collaboration, functional programming, and motivated by a commitment to continuous learning and improvement.

Responsibilities:

  • Contribute to the design, development, testing, deployment, and support of data pipelines and data lakes.
  • Promote and support Agile methodologies such as Scrum, Kanban, and Scrum ban by actively participating in regular ceremonies such as stand-up, retrospectives and sprint planning.
  • Mentor engineers within your squad (and beyond! ) to help them improve their technical ability and build their profile within and outside of the organisation.
  • Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.

Requirements:

  • Familiarity with the following languages: Scala, Python and SQL.
  • Familiarity with at least one of the following: Spark, Hive, or Presto.
  • Familiarity with data engineering methods and their application at scale.
  • Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure.
  • Familiarity with Databricks or Snowflake products.
  • Familiarity with Terraform, CloudFormation, or another infrastructure as code (IaC) tool.
  • Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
  • Minimum of 5 years of related work experience.

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