5+ years of data engineering experience developing large data pipelines
Strong understanding of data modeling principles including Dimensional modeling, data normalization principles
Responsibilities
Contribute to the design and growth of our Data Products and Data Warehouses around Content Performance and Content Engagement data
Design and develop scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid)
Help architect data solutions/frameworks and define data models for the underlying data warehouse and data marts. (Tech stack: AWS, Databricks, Snowflake, Spark, Airflow)
Collaborate with Data Product Managers, Data Architects and Data Engineers to design, implement, and deliver successful data solutions
Maintain detailed documentation of your work and changes to support data quality and data governance
Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)
Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team
Partner with business, analytics and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics
Collaborate across disciplines, they will identify internal/external data sources, design table structure, define ETL strategy & automated Data Quality checks
Skills
Data Engineering
SQL
Python
ETL
Big Data
Cloud Computing
Scalability
The Walt Disney Company
Leading producers & providers of entertainment and information