The Role: We are seeking a highly skilled Full Stack Engineer to design, develop, and scale next-generation Data Quality and AI-enabled platforms. In this role, you will work across the entire technology stack from intuitive user experiences and data visualizations to cloud-native backend services and data processing pipelines. You will partner closely with Data Quality SMEs, Data Engineers, Product Managers, Data Scientists, and Platform Teams to build solutions that support data observability, analytics, data governance, and AI-driven insights.

You will help build the next generation of DBs Data Quality Insights platform, enabling data governance, observability, analytics, and AI-powered decision support for enterprise data products.

Key Responsibilities:

Full stack Application Development
- Design and develop up-to-date, responsive web applications and drive the end-to-end development of scalable full-stack solutions using React, TypeScript, and Python (FastAPI), delivering high-performance web applications, APIs, microservices, analytics dashboards, data platform integrations,



and AI-powered capabilities in partnership with Product, Data Engineering, Architecture, and Platform teams.

Data Quality Analytics
- Build and enhance next-generation Data Quality and Governance platform that enables rule management, observability, metadata-driven monitoring, policy enforcement, and AI-powered insights. Develop scalable capabilities (front-end and back-end) for data quality assessment, anomaly detection, lineage, governance workflows, and self-service analytics, transforming business requirements into extensible enterprise-grade solutions.

Cloud Engineering DevOps
- Build cloud-native applications using GCP. Containerize applications using GKE and orchestrate deployments through CI/CD pipelines, preferably Terraform. Implement Infrastructure-as-Code and engineering best practices. Participate in operational excellence activities, monitoring, reliability, and platform opt

📌 Python Full Stack Developer (Hyderabad)
🏢 Eyeota
📍 Hyderabad