Responsibilities
- Construct, validate, and maintain reliable ETL workflows for both structured and unstructured data, incorporating machine learning models for enhanced data processing, while prioritizing system stability, efficiency, and issue resolution
- Create and manage processes for transforming data, verifying accuracy, and monitoring quality to ensure data is trustworthy and ready for use
- Design and deploy data warehouse architectures and modeling structures that support analytical and reporting functions
- Implement comprehensive data quality systems with real-time monitoring, alerting mechanisms, and corrective procedures
- Support strategic data architecture planning and lead initiatives to enhance the scalability and performance of the data platform
Other
- All selected candidates must confirm their identity and legal authorization to work in the United States
- The organization is committed to inclusive hiring and actively supports diversity by welcoming applicants of all races, colors, ancestries, religions, genders, gender identities, genetic backgrounds, national origins, sexual orientations, ages, citizenships, marital statuses, disabilities, and veteran statuses
