
Full Stack Data Engineering Lead
5 days ago
About the Role
We are seeking a skilled Software Development Engineer to help us build cutting-edge software and data infrastructure for our AI-driven platform. This is a full-stack role that will work across frontend, backend, and data layers using Python, Streamlit, Snowflake, and modern DevOps practices.
- Design and develop full-stack applications using Python, Streamlit, and modern web frameworks to power internal tools, analytics dashboards, and customer-facing products.
- Create scalable data pipelines to ingest, clean, transform, and serve data from diverse sources into Snowflake and other cloud-native databases.
- Implement low-latency, high-availability backend services to support data science, decision intelligence, and interactive visualizations.
- Integrate front-end components with backend systems and ensure seamless interaction between UI, APIs, and data layers.
- Collaborate with data scientists / ML engineers to deploy models, support experimentation, and enable rapid iteration on analytics use cases.
- Define and evolve our data strategy and architecture, including schemas, governance, versioning, and access patterns across business units and use cases.
- Implement DevOps best practices, including testing, CI/CD automation, and observability, to improve reliability and reduce technical debt.
- Ensure data integrity and privacy through validation, error handling, and secure design.
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