COMPLETE Data Engineer - Lake Buena Vista, FL, USA

Job Posting Title:

Data Engineer

Req ID:

10063265

Job Description:

About the Role & Team

The Disney Decision Science + Integration (DDSI) organization is responsible for supporting clients across The Walt Disney Company including the Disney Parks, Experiences and Products segment which include Parks & Resorts both domestic and international, Consumer Products and Disney Signature Experiences as well as the Disney Entertainment segment including Studios Content (Disney Theatrical Group), General Entertainment Content, and ESPN and Sports Content.

DDSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value.

The Data Engineering team is responsible for partnering with Decision Science Products, Decision Science, Client and Technology team members on various development and sustainment projects, ad-hoc requests, prototyping and research initiatives by providing data pipeline and database engineering services.

The DDSI Data Engineering (DE) team is seeking a Data Engineer to work on a Parks/Tickets Yield Management project supporting multiple theme park locations. In this position, the candidate will have tasks to design, develop, enhance, and implement systems for multiple analytical applications. The work will involve various data engineering activities such as maintaining and enhancing data acquisition processes, data validation processes, ETL/ELT data pipelines, and overall process notification methods

What You Will Do

Work assignments may cover activities such as participation in data requirements gathering, source-to-target mapping, data validation scripting and review, developing and monitoring ETL/ELT data pipelines, and producing datasets as input to science models and visualizations. In addition to technical capabilities, the role is responsible for developing an understanding the business domain and processes, then applying that knowledge to the assigned deliverables. This role communicates data engineering progress to the project leadership team, and actively participates in meetings and discussions.

Technologies generally used to fulfill the work include, but not limited to PostgreSQL, Snowflake, Python, Docker, and GitLab.

Required Qualifications & Skills

• 3+ years of proven experience with ELT/ETL data pipeline development and maintenance

• Shown experience and expertise using Python and SQL

• Experience and understanding of one or more business domains to assist in gathering data requirements and data design solutions

• Experience with developing in a multi environment (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion

• Strong understanding of database design and proficiency using various database platforms, such as PostgreSQL or Snowflake

• Experience managing and deploying code using a source control product such as GitLab/GitHub

• Able to optimally formulate solutions and communicate sophisticated technical concepts to non-technical team members

Preferred Qualifications

• Knowledgeable with Disney Parks attendance, reservations and/or products

• Experience working with large datasets and modern data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar

• Demonstrated proficiency with API development

• Experience with data orchestration tools such as Apache Airflow

• Knowledgeable on cloud architecture and product offerings, preferably AWS

• Experience using containerization technologies such as Docker or Kubernetes

Education

• Bachelor’s degree (Computer Science, Mathematics, Software Engineering or related field, or equivalent experience)

• Master’s degree preferred (Computer Science, Mathematics, Engineering or related field preferred)

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Job Posting Segment:

Finance & Planning

Job Posting Primary Business:

Decision Science & Integration

Primary Job Posting Category:

Data Engineering

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Lake Buena Vista, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2023-09-27