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 team is involved in various activities ranging from data acquisition and validation, designing and implementing ETL/ELT data pipelines, designing and implementing databases, and evolving our next generation data platform to fulfill the needs of our applications, data services, ad-hoc analytics and self-service/POC initiatives.
**Responsibilities**
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 several projects.
This Senior Data Engineer will be responsible for partnering with our Studios or Enterprise 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 PROD.
The role will leverage a multitude of technologies to fulfill the work including, but not limited to SQL, Python, Docker, Gitlab, Airflow, Snowflake, Looker and PostgreSQL.
**Basic Qualifications:**
+ 3+ years experience with Python
+ 4+ years experience with SQL
+ 3+ years experience designing, building and maintaining ETL/ELT data pipelines
+ 2+ years experience with cloud based technologies, preferably AWS and S3
+ Experience using Apache Airflow, Databricks
+ 2+ years leveraging, designing and building relational databases
+ 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 processes
**Preferred Qualifications**
+ Experience with Airflow, Gitlab, Snowflake, Tableau
+ Masters degree in Computer Science, Mathematics, Engineering, or a related field
+ Experience in streaming, media, or digital marketing domain
**Minimum Qualifications**
+ Bachelor degree in Computer Science, Mathematics, Engineering, or a related field
+ 3+ years experience in a Data Engineering role
+ SQL, Python, Gitlab, Airflow, AWS S3 and Relational Databases
+ 2+ years experience working on a cloud platform
+ 2+ years experience working with data lakes, data warehouses and application databases
**Job ID:** 7107136020220515
**Location:** Burbank,California
**Job Posting Company:**
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.