Job Description
The ideal candidate will work at the intersection of full-stack engineering and data engineering, contributing to both user-facing applications and backend data pipelines. This position plays a key role in shaping our data platform architecture as we continue to grow and modernize our technology stack.
Key Responsibilities
· Design, develop, and maintain scalable web applications using React (or similar SPA frameworks), TypeScript, , and
· Architect and build backend services and APIs using , following best practices for scalability and maintainability.
· Design and implement data pipelines and ETL processes (Extract, Transform, Load) for high-volume data ingestion.
· Work with large-scale data ingestion systems, processing millions of rows daily.
· Build and maintain RESTful and/or GraphQL APIs consumed by web and external clients.
· Design and manage data storage solutions, including Data Warehouses and Data Lakes.
· Generate and maintain metadata, metrics, a...
Key Responsibilities
· Design, develop, and maintain scalable web applications using React (or similar SPA frameworks), TypeScript, , and
· Architect and build backend services and APIs using , following best practices for scalability and maintainability.
· Design and implement data pipelines and ETL processes (Extract, Transform, Load) for high-volume data ingestion.
· Work with large-scale data ingestion systems, processing millions of rows daily.
· Build and maintain RESTful and/or GraphQL APIs consumed by web and external clients.
· Design and manage data storage solutions, including Data Warehouses and Data Lakes.
· Generate and maintain metadata, metrics, a...
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