Position Details
About this role
Design and develop data pipelines and ETL processes to support Disney’s media analytics. Collaborate with teams to ensure data quality, reliability, and scalability across data ecosystems.
Key Responsibilities
- Design data pipelines
- Build ETL routines
- Implement data quality checks
- Maintain data warehouses
- Collaborate with analytics teams
Technical Overview
Focus on building scalable data pipelines using ETL tools, Airflow, SQL, and Python. Maintain data quality and support analytics initiatives in a fast-growing data environment.
Ideal Candidate
The ideal candidate is a mid-level data engineer with experience in building data pipelines, ETL processes, and data quality checks. They are proficient in SQL and Python, with a strong analytical mindset and familiarity with airflow and data warehousing.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with ETL or data pipelines, No SQL or Python skills, Inability to work with airflow or data warehouses, No experience in data quality checks
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