Responsibilities
- Create and manage robust data pipelines that handle both batch processing and real-time event streams.
- Build and publish APIs for data access and analytics using REST and GraphQL standards.
- Transform and model data while enforcing validation rules to maintain accuracy and reliability.
- Work closely with data science teams to integrate and deploy machine learning models in production.
- Organize and prepare datasets for use in business intelligence platforms like Power BI and Tableau.
- Support cloud-native, container-based data infrastructure and modern CI/CD deployment methods.
- Bridge technical data systems with business objectives by delivering actionable insights.
