Data Engineer

• Design, develop, and maintain backend services, APIs, and platform features that support data products and analytics workflows
• Build scalable systems capable of handling large volumes of data, users, and business-critical requests
• Work within a Next.js-based platform while evaluating alternative stacks, tools, or services when required for scalability
• Improve platform architecture to support future growth, performance, reliability, and maintainability
• Evaluate and contribute to scaling approaches, including modular architecture, service separation, and potential microservices where appropriate
• Implement data optimization strategies such as caching, query optimization, pagination, pre-aggregation, and efficient data loading
• Work with databases, data warehouses, and data pipelines to ensure reliable data access and strong performance
• Optimize backend performance, query efficiency, data processing, and system response times
• Collaborate with frontend developers to deliver end-to-end platform features, with the ability to build or support frontend components when required
• Support architecture decisions, including data flows, API design, system boundaries, integration patterns, and infrastructure considerations
• Troubleshoot production issues, performance bottlenecks, data latency, and integration problems
• Write clean, reusable, well-tested code following engineering best practices
• Work closely with data and BI teams to support dashboard, reporting, and analytics use cases within the platform
• Continuously improve technical standards, development processes, and platform scalability

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