Data Engineer

Data Platform Development: Build and maintain a high-performance data platform. Connect platform with product solutions and drive analytical innovation. Focus on incredible architectures and efficient platforms.

Data Pipeline Creation: Create and edit data pipelines. Consider business logic and data quality. Enable clear and accessible data abstractions.

Data Accessibility and Usage: Enable teams across the company to access and use data more effectively. Provide self-service tools and well-modeled datasets. Align with stakeholders to understand their needs.

Collaboration and Problem-Solving: Contribute to defining the strategic vision, crossing team and service boundaries to solve problems. Advocate for the value of data analytics and engineering within the organization.

Code Lifecycle Management: Responsible for the entire code development lifecycle including monitoring deployment, documentation, performance, and adding metrics and alarms.