Senior Python & React Developer

Dun & Bradstreet India; Hyderabad; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Dun & Bradstreet India is seeking a highly skilled Full Stack Engineer to design, develop, and scale next-generation Data Quality and AI-enabled platforms. 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,

Qualifications

• 6-8 years of professional full-stack development experience with ownership of end-to-end systems.
• Experience designing, developing, and maintaining modern full-stack applications across frontend and backend.
• Strong backend development experience using Python with FastAPI, Flask, or Django.
• Hands-on experience building REST APIs, microservices, and event-driven architectures.
• Strong SQL skills with analytical queries on large datasets; working with PostgreSQL/MySQL/MongoDB.

Responsibilities

• Design, develop and scale Data Quality and AI-enabled platforms across the stack.
• Build and maintain front-end and back-end components, data visualizations, and pipelines.
• Develop REST APIs, microservices, and event-driven architecture.
• Collaborate with cross-functional teams to deliver data governance and observability features.

Skills

Full stack development

Python

REST APIs

Microservices

SQL

GCP

Git workflows

Data observability

Security & auth

Tools

Power BI

BigQuery

Airflow

GKE

Cloud Storage

Pub/Sub

Job description

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 D&B's Data Quality Insights platform, enabling data governance, observability, analytics, and AI-powered decision support for enterprise data products.

Key Requirements:

• 6-8 years of professional full‑stack/software engineering development experience with demonstrated ownership of end‑to‑end systems.
• Proven experience designing, developing, and maintaining modern full-stack applications across both frontend and backend technologies.
• Strong backend development experience using Python and modern frameworks such as FastAPI, Flask, or Django.
• Hands‑on experience building and consuming REST APIs, developing microservices, and implementing event‑driven architectures.
• Strong SQL skills with experience developing analytical queries against large‑scale datasets.
• Experience with relational and NoSQL databases, including PostgreSQL, MySQL, MongoDB, or equivalent technologies.
• Exposure to deploying applications in Cloud using CI/CD methodologies including Git‑based development workflows.
• Exposure building and deploying applications on Cloud platforms (Google Cloud Platform (GCP) preferred, including BigQuery, Composer (Airflow), Cloud Storage, Pub/Sub, Dataproc, Dataflow and GKE).
• Strong testing fundamentals across the stack (unit, integration, E2E).
• Solid understanding of Git workflows and development tooling (npm/yarn etc).
• Familiarity with data pipelines, ETL/ELT processing, metadata‑driven architectures, observability frameworks, and large‑scale analytical platforms.
• Strong grounding in web security, including authentication, authorization, and secure API communication.
• Strong problem‑solving, communication, and collaboration skills.
• Ability to work independently and in cross‑functional teams.
• Focus on quality, performance, and maintainability.

Preferred Qualifications

• Experience working with Data Quality, Data Governance, Data Observability, or Data Management platforms.
• Experience with Terraform and Infrastructure‑as‑Code is highly preferred.
• Knowledge of Data Quality rules, metadata‑driven systems, and monitoring frameworks.
• Experience developing dashboards using Power BI or modern visualization frameworks.
• Exposure to data engineering concepts and cloud‑based data platforms.
• Familiarity with analytics and monitoring solutions for large‑scale distributed systems.
• Experience supporting enterprise data products or data‑driven platforms.
• Experience using AI‑assisted engineering tools such as GitHub Copilot/Gemini/Claude/Cursor, or similar developer productivity platforms.