Lead Data Engineer

The Walt Disney Company-posted 4 months ago
$152,200 - $204,100/Yr
Full-time
Glendale, CA
5,001-10,000 employees
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Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney’s media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. The Lead Data Engineer partners with business, analytics, and infrastructure teams to design and build data pipelines for Content performance metrics.

  • Lead the successful design and implementation of complex technical problems.
  • Lead and contribute to the design and growth of our Data Products and Data Warehouses around Content movements and metrics.
  • Use sophisticated analytical thought to exercise judgement and identify innovative solutions.
  • Partner with technical and non-technical colleagues to understand data and reporting requirements.
  • Collaborate with Data Product Managers, Data Architects and other Data Engineers to design, implement, and deliver successful data solutions.
  • Design table structures and define ETL pipelines to build performant Data solutions that are reliable and scalable in a fast growing data ecosystem.
  • Develop Data Quality checks.
  • Develop and maintain ETL routines using ETL and orchestration tools such as Airflow.
  • Serve as an advanced resource to other Data Engineers on the team, and mentor and coach more junior members of the team helping to improve their skills, knowledge, and productivity.
  • 7+ years of data engineering experience developing large data pipelines.
  • Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.
  • Good understanding of SQL Engines and able to conduct advanced performance tuning.
  • Ability to think strategically, analyze and interpret market and consumer information.
  • Strong communication skills – written and verbal presentations.
  • Excellent conceptual and analytical reasoning competencies.
  • Comfortable working in a fast-paced and highly collaborative environment.
  • Familiarity with Agile Scrum principles and ceremonies.
  • 4+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments.
  • 5+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift).
  • 3+ years of experience programming languages (e.g. Python, Pyspark).
  • 3+ years of experience with data orchestration/ETL tools (Airflow, Nifi).
  • Experience with Snowflake, Databricks/EMR/Spark & Airflow.
  • A bonus and/or long-term incentive units may be provided as part of the compensation package.
  • Full range of medical, financial, and/or other benefits, dependent on the level and position offered.
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