Responsibilities
- Transform data from diverse internal sources into unified, standardized models, then refine further for specific team needs and analytical applications.
- Clean and organize both structured and unstructured data, developing robust data models to support accurate reporting.
- Enhance an AWS-hosted lakehouse by incorporating new data streams and building regulatory-focused solutions to support decision-making and compliance.
- Build and manage data validation and monitoring systems to guarantee data pipeline accuracy, reliability, and efficiency.
- Work closely with driven data specialists, product teams, and engineers to deliver intelligent product features.
- Keep comprehensive, up-to-date documentation and data catalogs to ensure data transparency, access, and governance.
- Support team members in navigating data systems, troubleshooting issues, and retrieving required data.
- Keep current with advancements in data modeling and proactively share knowledge and best practices across the organization.
Work Arrangement
Hybrid
