Senior Data Engineer – API

We are accelerating our digital transformation by adopting AI, data engineering, and modern digital platforms to build intelligent, scalable, and integrated systems across the enterprise. As a Senior Data Engineer – API, you will serve as a technical leader responsible for designing and building high-performance data APIs, scalable backend services, and seamless API-driven integrations that power advanced analytics, real-time insights, and intelligent applications—including those supporting Generative AI. This role requires deep expertise in API architecture, backend engineering, cloud platforms, and a strong understanding of how frontend applications consume APIs. You will collaborate with cross-functional teams across engineering, data, cloud, and product to build secure, reliable, and user-centric digital solutions. Key Responsibilities 1. API & Backend Engineering - Design, build, and maintain scalable RESTful and GraphQL APIs. - Architect and implement backend services using Java/Spring Boot, Python FastAPI, or Node.js frameworks such as Express.js or NestJS. - Model API resources, version APIs, and enforce consistent request/response patterns. - Implement validation frameworks (Zod, Joi, Yup) and standardized error structures. - Build data access layers using both relational (PostgreSQL, SQL Server, MySQL) and NoSQL (MongoDB) databases. - Manage schema migrations, indexing, transactions, and performance tuning. - Ensure security through JWT, OAuth2/OIDC, role-based authorization, rate limiting, and OWASP best practices. 2. Full-Stack Capability (React as API Consumer) - Build API-driven user interfaces using React with functional components and hooks (useState, useEffect, useContext). - Integrate frontend applications with APIs using fetch, Axios, and data-fetching libraries such as React Query/TanStack Query, SWR, or RTK Query. - Implement pagination, filtering, sorting, and robust error/loading states. - Manage application state using Context API, Redux, Zustand, or similar tools. - Implement authentication flows, token handling, protected routes, and role-based UI access controls. 3. Data Engineering & Architecture - Architect and optimize application, data, and infrastructure layers to deliver high performance and scalability. - Build message-driven systems using Service Bus, Kafka, Tibco, MQ, etc. - Integrate APIs with data pipelines and analytics layers to support real-time and batch workloads. - Support Azure-based deployments using SQL Server, Redis, App Services, API Management, and cloud-native components. 4. API–UI Contract Management - Use OpenAPI/Swagger or GraphQL schemas as a single source of truth. - Enable frontend development using shared TypeScript types or contract-first design. - Provide mock servers, stubs, and consistent validation/error contracts for cross-team harmony. 5. Quality Engineering & Automation - Develop unit, integration, and contract tests using Jest, Vitest, Postman, or Insomnia. - Implement test automation frameworks to ensure data quality and API reliability. - Build CI pipelines to automate builds, tests, and deployments. 6. DevOps, Cloud & Delivery - Manage environment configuration for local, dev, QA, staging, and production. - Containerize services using Docker and deploy to Kubernetes, serverless, or VM-based environments. - Implement sophisticated logging (pino, winston), tracing, and monitoring solutions (Sentry, health checks). - Ensure secure secrets management using environment variables or cloud key vaults. 7. End-to-End Delivery Ownership - Lead the full E2E lifecycle: - API design and documentation - Backend implementation - Database integration - Security & authentication - Frontend consumption - Deployment & monitoring - Drive best practices in scalability, resilience, error handling, and observability. - Mentor junior engineers and foster engineering excellence. Essential Qualifications - Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred). - 7+ years of experience in software engineering with strong API and backend development background. - Expertise in Java/Spring Boot and Python, plus working knowledge of Node.js. - Strong understanding of JavaScript (ES6+) and TypeScript fundamentals. - 3+ years of architectural experience across application, data, and infrastructure layers. - Experience with multi-threading, concurrency, microservices, and distributed system design. - Hands-on experience with Azure or any major cloud platform. - Strong experience with message-driven architecture (Kafka, MQ, Service Bus). Preferred Skills - Experience with AWS or GCP. - Knowledge of ML/AI-driven applications or model-serving workflows. - Experience with scripting languages (PowerShell, Bash, JavaScript, Regex). - Prior experience in regulated industries or data-centric domains (Life Sciences, Healthcare, Financial Services). - Familiarity with analytics platforms and data quality frameworks.