
Senior Data Scientist Role
19 hours ago
Warner Bros. Discovery is an industry leader in the creation of compelling content and experiences for audiences around the world. We are committed to fostering a culture of innovation, collaboration, and continuous improvement.
We are seeking a talented Principal Data Engineer to join our Data & Shared Services organization. This role will be responsible for leading the engineering and development of complex data management systems that combine core data sources into data warehouses, cloud data lakes, data science platforms, or other accessible structures.
The ideal candidate will have a strong understanding of data management principles, experience with relational databases, data warehouses, and SQL, and be able to drive project delivery within established timeframes while delivering business value.
Key Responsibilities:
- Lead the development of complex data management systems that combine core data sources into data warehouses, cloud data lakes, data science platforms, or other accessible structures.
- Analyze business processes to create requirements, specifications, and system solution designs in partnership with engineering team members.
- Develop and enforce best practices for data management, adhering to architectural standards, security, and compliance.
- Recommends and implements data reliability, efficiency, and quality improvements.
- Build data pipelines: create, maintain, and optimize workloads from development to production for specific use cases.
Requirements:
- Bachelor's degree in science, statistics, engineering, business administration, or similar field of study.
- 14+ years of experience building and scaling data platforms.
- Knowledge of supporting data sets for Home Entertainment, Games DVD/Digital business, Content sales and Licensing.
- Expert in one or modern data replication and data integration tools (for example Informatica, Attunity, AWS DMS, etc.).
- Expert in one or more modern data lake and data warehouse tools (for example Teradata, Redshift, Snowflake, etc.).
- Experience in one or more automation and scheduling tools (for example Redwood, Airflow, etc.).
- Experience with Atlassian Suite (JIRA, Confluence).
- Experience with Excel spreadsheets, modeling, and reporting.
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