CVS Health is looking to design, build, and maintain the data infrastructure that supports the organization's data-related initiatives, ensuring efficient and reliable processing, storage, and retrieval of data.
Requirements
- Design, Develop and maintain optimal data pipeline to assemble large & complex data sets that meets analytics and business requirements
Responsibilities
- Designs scalable and efficient data pipelines to extract, transform, and load data from various sources into data warehouses or data lakes.
- Develops data pipelines that enable efficient data storage, retrieval, and analysis.
- Implements data validation and quality checks to identify and address data anomalies or errors.
- Designs data warehousing and data lake solutions that facilitate data storage, retrieval, and analysis.
- Documents data engineering processes, workflows, and systems for reference and knowledge-sharing purposes.
- Implements data quality checks and validation processes to ensure the accuracy, completeness, and consistency of the data.
- Identifies opportunities to streamline data engineering processes, improve efficiency, and enhance the quality of deliverables.
Other
- 5+ years work experience
- Bachelor's Degree
- 40 hours per week
- Full time
- The typical pay range for this role is: $92,700.00 - $185,400.00
