Company Name:-
Parks, Experiences and Products

Job Location:-
Lake Hamilton, FL 33851

Job Summary:-
Job Summary:
“We make magic.

” That’s our motto at Walt Disney Parks and Resorts.

And it permeates everything we do.

At Disney, you’ll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!
The Lead DS&E Engineer will create data, reporting, and analytics solutions using batch-oriented and real-time streaming data pipelines inside AWS and other cloud environments.

A person in this role will create new data workloads/applications, and also migrate applications from On-Premise Ecosystem to Cloud Data lakes.

Implements, troubleshoots, and optimizes distributed solutions based on modern big data technologies like SQL, S3, Glue, MSK, Starburst Presto, Snowflake, Redshift, etc.

to solve large scale processing problems in a Cloud DW environment.

Designs syndicated and curated data views that will be used for reporting, analytics, and advanced applications.

Apply technical expertise and mathematical concepts to challenging programming, design, and machine learning problems.

Technical solutions are focused on the Media and Entertainment domain, specifically in Theme Park Ticketing and Resorts.

Strong communication, interpersonal, and collaboration skills, including the ability to work effectively in an agile / scrum environment.

Responsibilities:
Design and develop production grade syndicated and curated data views, assist with architecture decisions, deployment and feedback.

Design and develop data pipelines in the AWS cloud environment
Able to debug and troubleshoot across broad technical stack
Product ownership and strong business support in theme park ticketing space
Working with a variety of business partner groups across Disney Parks and Resorts to implement optimal technical solutions
Provide data and system analysis needed for feature engineering on Machine Learning initiatives
Basic Qualifications:
2+ years of experience with Python development.

2+ years of experience with AWS S3, Glue, MSK, Redshift, Spark, etc.

5+ years of experience in software development in an agile environment.

5+ years of experience with SQL.

5+ years of experience working in large Data Warehousing environments
Mathematical background relevant to Machine Learning concepts
Produc

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