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Experienced Full Stack Data Engineer – Web & Cloud Application Development for Disney's Streaming Business

Remote · USA Full-time New today

Join the Magic: A Career Opportunity at Disney

Are you a tech-savvy individual with a passion for innovation and a drive to succeed in a dynamic and fast-paced environment? Do you want to be part of a team that shapes the future of entertainment and streaming? Look no further! Disney is seeking an experienced Full Stack Data Engineer to join its esteemed team of professionals who are revolutionizing the way we experience entertainment.

About Disney's Streaming Business

Disney's Streaming Business is a cutting-edge innovation hub that powers the company's industry-leading, luxurious global advertising business. Working across Disney's streaming brands and linear stations, this team's scope is vast – they influence everything from core infrastructure development that drives Disney's proprietary ad server, to reimagining viewer-first ad experiences and solutions. This team's award-winning, in-house built innovations are the backbone of Disney's advertising business and a critical component of the Company's streaming future.

The Role: Senior Data Engineer

As a Senior Data Engineer, you will contribute to Disney's success by collaborating with business, analytics, and infrastructure teams to design and build data pipelines to support measuring subscriber growth and metrics. Working together across disciplines, you will identify internal/external data sources, design table schema, define ETL pipelines, and implement automated Data Quality checks.

Key Responsibilities:

* Collaborate with technical and non-technical partners to determine data and reporting requirements (40%)

  • Work with design teams to gather required data from internal and external systems (20%)
  • Design table schema and define ETL pipelines to build performant data solutions that are reliable and flexible in a rapidly evolving data ecosystem (20%)
  • Develop Data Quality checks (10%)
  • Create and maintain ETL schedules using ETL and orchestration tools like AWS Glue (5%)
  • Execute database organizations using tools like Apache Spark (5%)
  • Perform ad-hoc analysis as needed (5%)
  • Perform SQL and ETL tuning as needed (5%)

Essential Qualifications:

* 2+ years of relevant data engineering experience

  • Strong understanding of data modeling principles, including layered modeling and data standardization standards
  • Excellent understanding of SQL engines and ability to lead advanced performance tuning
  • Ability to think critically, analyze, and interpret market and customer data
  • Strong relational skills – written and verbal presentations
  • Excellent applied and analytical thinking skills
  • Willingness to work in a fast-paced and highly collaborative environment
  • Knowledge of Agile Scrum principles and practices

Preferred Qualifications:

* 2+ years of experience implementing and monitoring business key performance indicators in data warehousing environments

  • 2+ years of experience using scientific SQL, working with traditional relational databases or distributed systems (Snowflake or Redshift)
  • 2+ years of experience with programming languages (e.g., Python, PySpark)
  • 2+ years of experience with data organization/ETL tools (AWS Glue, Nifi)
  • Experience with Snowflake, Databricks/EMR/Spark, or AWS Glue

Why Join Disney?

* Competitive salary and benefits package

  • Opportunities for career growth and professional development
  • Collaborative and dynamic work environment
  • Access to cutting-edge technology and innovative projects
  • Recognition and rewards for outstanding performance
  • Comprehensive training and onboarding program
  • Flexible work arrangements and work-life balance

How to Apply:

If you are a motivated and talented individual who is passionate about data engineering and wants to be part of a team that is shaping the future of entertainment, please submit your application through our website. We look forward to hearing from you! Apply Now! Apply for this job

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