Backend Platform Engineer
@
Workday
Join Workday's Platform team to enhance developer experience by maintaining backend systems and data flows. Requires 3+ years in software development, Python, and SQL/NoSQL skills. Flexible work options available.
AWS
Azure
GCP
Kubernetes
Terraform
Docker
Workday
Workday is a leading provider of enterprise cloud applications for finance and human resources, helping customers adapt and thrive in a changing world. Workday applications for financial management, human resources, planning, spend management, and analytics are built with artificial intelligence and machine learning at the core to help organizations around the world embrace the future of work. Workday is used by more than 10,000 organizations around the world and across industries from medium-sized businesses to more than 50% of the Fortune 500.
About The Role
- Data Flow Management: Maintain and optimize the organization's data flows, pipelines, and tools.
- Asynchronous Data Solutions: Contribute to the design and implementation of asynchronous event-driven data solutions.
- Data Platform Collaboration: Work with product teams to leverage data platform tools effectively for user-facing applications.
- Data Management: Contribute to the development and maintenance of tools and processes for data migrations, purging, and governance.
- Cross-functional Collaboration: Collaborate with data scientists, analysts, and developers to support their data needs.
- Monitoring and Optimization: Participate in monitoring the performance of data platform tools and databases, and contribute to their optimization.
About The Role
- Data Flow Management: Maintain and optimize the organization's data flows, pipelines, and tools.
- Asynchronous Data Solutions: Contribute to the design and implementation of asynchronous event-driven data solutions.
- Data Platform Collaboration: Work with product teams to leverage data platform tools effectively for user-facing applications.
- Data Management: Contribute to the development and maintenance of tools and processes for data migrations, purging, and governance.
- Cross-functional Collaboration: Collaborate with data scientists, analysts, and developers to support their data needs.
- Monitoring and Optimization: Participate in monitoring the performance of data platform tools and databases, and contribute to their optimization.
