Data Engineer – API Specialist

2 days ago

anand, India beBeeSoftware Full time

Role Summary:We are driving digital innovation by integrating AI, data engineering, and modern platforms to develop intelligent systems across the enterprise.Key ResponsibilitiesData Engineer – APIDescription:This position requires in-depth expertise in API architecture, backend engineering, cloud platforms, and a strong understanding of how frontend applications consume APIs.Main Tasks:Design, build, and maintain scalable RESTful and GraphQL APIs with Java/Spring Boot, Python FastAPI, or Node.js frameworks such as Express.js or NestJS.Create robust backend services using Java/Spring Boot, Python FastAPI, or Node.js frameworks such as Express.js or NestJS.Responsibilities:1. API & Backend EngineeringWe will design, build, and maintain scalable RESTful and GraphQL APIs with Java/Spring Boot, Python FastAPI, or Node.js frameworks such as Express.js or NestJS.2. Full-Stack Capability (React as API Consumer)We will build API-driven user interfaces using React with functional components and hooks (useState, useEffect, useContext).We will integrate frontend applications with APIs using fetch, Axios, and data-fetching libraries such as React Query/TanStack Query, SWR, or RTK Query.3. Data Engineering & ArchitectureWe will architect and optimize application, data, and infrastructure layers to deliver high performance and scalability.We will use Azure-based deployments using SQL Server, Redis, App Services, API Management, and cloud-native components.4. API–UI Contract ManagementWe will use OpenAPI/Swagger or GraphQL schemas as a single source of truth.We will enable frontend development using shared TypeScript types or contract-first design.5. Quality Engineering & AutomationWe will develop unit, integration, and contract tests using Jest, Vitest, Postman, or Insomnia.We will implement test automation frameworks to ensure data quality and API reliability.6. DevOps, Cloud & DeliveryWe will manage environment configuration for local, dev, QA, staging, and production.We will containerize services using Docker and deploy to Kubernetes, serverless, or VM-based environments.7. End-to-End Delivery OwnershipWe will lead the full E2E lifecycle:API design and documentationBackend implementationDatabase integrationSecurity & authenticationFrontend consumptionDeployment & monitoring

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