Design, develop, and implement data pipelines and infrastructure.

Take ownership of technical problems, from ideation and research to proposing and delivering end-to-end solutions involving requirements.

Collaborate with Product Managers, Data Scientists, Analysts, and Feature Engineering teams to understand data needs and deliver data solutions that meet business requirements.

Identify opportunities to improve system efficiency, reliability, and developer experience within the data platform. Address technical debt and implement optimizations.

Advocate and implement best practices in data infrastructure, software development, testing, and monitoring to ensure the reliability, scalability, and efficiency of Golden Data Pipeline's (GDP's) systems.

Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.

2 years of experience with software development in one or more programming languages (e.g., C, C++, Java, Python or Go).

Experience with large-scale data processing and distributed systems.