Overview

Responsibilities

  • Monitor and validate the daily data platform performance and data quality
  • Perform data platform development, support and enhancement
  • Design and build information-delivery systems and solutions
  • Develop data pipeline and engine to support application engineers to use data to implement personalization and recommendation
  • Perform data-warehouse design and programming
  • Develop engineering analytical solutions and program by following analytical models and solutions to help solve business problems.
  • Provide engineering support for the usage and interpretation of data to various business partners.
  • Design and develop data-sets to support business analyses
  • Perform engineering support for data-mining, deep learning and performance measurements on business-information systems utilizing analytics tools and methodologies
  • Be part of the team to perform the technical proof of concepts, explore new technologies for machine learning such as google tensor flow or open source APIs/packages.
  • Implement process improvements and enhancements Basic Qualifications
  • Must contribute to overall team success; committed to building a strong team
  • Must be a self-motivated, energetic, detail oriented team player passionate about producing high quality data & analytics deliverables and thrives in a collaborative environment
  • Strong analytical aptitude required
  • Solid engineering background with SQL, Linux script, Java or Python.
  • Solid background with data mining and machine learning
  • Good background with statistics skills such as R
  • Passionate about working with large volume of data
  • Ability to work in an agile development environment with minimal documentation and process
  • Strong problem solving skill to identify the root cause and implement the fix Preferred Qualifications
  • Knowledge of Hadoop, Hive, Spark and Pig preferred Required Education B. S or M. S degree in computer science, mathematics or economics with math background Company Overview Disney Consumer Products (DCP) is more than the world s largest licensor of consumer products, more than Princess dolls and Mickey Mouse t-shirts.

It s a culture of innovation, the place where the Princess and Fairies franchises were born, where the arch of Winnie-the- Pooh s eyebrow is as carefully considered as the budget forecast, where cartoons become couture, and where The Disney Store is transcending the rules of retail by morphing into an Imagination Park. DCP makes comic books and toothbrushes and everyday things matter because Disney products not only tell a story, but they tell the consumer s story, becoming an integral part of the consumer s life. Disney Consumer Products is Disney Living