The Disney Decision Science and Integration (DDSI) analytics consulting team is responsible for supporting clients across The Walt Disney Company including Disney Parks, Experiences and Products (e.g., Walt Disney World, Disneyland, Disney Cruise Line), Disney Media & Entertainment Distribution (e.g., Disney+, ESPN+, Hulu), Studios Content (e.g., The Walt Disney Studios, Disney Theatrical Group), General Entertainment Content (e.g., 20th Television, ABC Entertainment, ABC News) 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 (within DDSI) is looking to fill a Senior Data Engineer role responsible for designing and implementing ETL/ELT data pipelines, designing and implementing database schema/tables/views, and building batch processes leveraging Airflow for internally built media applications such as Proposal Generation Tool (PGT), Viewership Forecasting System (VFS) and/or Yield Management System (YMS).


**Responsibilities :**

This Senior Data Engineer will be responsible for partnering with our Decision Science Products (DSP), Decision Science (DS) and Technology team members in various activities around data requirements gathering, data validation scripting and review, developing and monitoring ETL/ELT data pipelines, designing and implementing database schema/tables/views, plus deployment across multiple environments such as DEV, QA/UAT and PRODod. The role will leverage a multitude of technologies to fulfill the work including, but not limited to SQL, Python, Docker, Gitlab, Airflow, Snowflake, and PostgreSQL.


+ 3+ years experience with Python

+ 4+ years experience with SQL

+ 4+ years experience designing, building and maintaining ETL/ELT data pipelines

+ 2+ years experience with cloud based technologies, preferably AWS EMR, EC2, and S3

+ Experience using Apache Airflow

+ 2+ years leveraging, designing and building relational databases (preferably Snowflake, or Postgres)

+ 2+ years of experience using Gitlab/Github

+ 2+ years of experience using Docker

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

+ Participate in driving best practices around data engineering software development processe

+ Experience leveraging Nielsen data


**Basic Qualifications :**


+ 4+ years experience in a Data Engineering role

+ SQL, Python, Docker, Gitlab, Airflow, AWS S3 and Relational Databases

+ 2+ years experience working on a cloud platform

+ 3+ years experience working with data lakes, data warehouses and application databases


**Preferred Qualifications:**


+ 6-7 years experience in a Data Engineering role

+ Airflow, Gitlab, Snowflake, PostgreSQL


**Required Education :**

Bachelor degree in Computer Science, Mathematics, Engineering, or a related field


**Preferred Education :**

Masters degree in Computer Science, Mathematics, Engineering, or a related field


**Job ID:** 959766BR

**Location:** Orlando,Florida

**Job Posting Company:** The Walt Disney Company (Corporate)
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