Role & responsibilities

- 2-5 years of experience with Bachelors and 1-3 years with Masters degree in Computer Science,

Engineering, Data Science, or related technical fields.

- Experience in building and deploying scalable data, analytics, or digital solutions in production

environments.

- Solid programming skills in Python (preferred) and working knowledge of SQL; familiarity with software

engineering best practices.

- Hands-on experience with data platforms, cloud ecosystems (AWS/Azure/GCP), and modern data

architectures (data lakes, warehouses, APIs).

- Experience designing end-to-end solutions including data pipelines, backend services, and frontend

applications or dashboards (e.g., React,NextJS or similar frameworks).

- Familiarity with DevOps practices (CI/CD, containerization using Docker, version control using Git).
- Strong understanding of system design, scalability, performance optimization, and data modeling.
- Ability to translate business problems into technical solutions and architecture designs.
- Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.
- Prior exposure to consulting or working in cross-functional teams is a plus.

Preferred candidate profile

Design and build scalable, production-grade data and analytics solutions, including data pipelines, backend





services, and user-facing applications.

- Architect end-to-end technical solutions by combining data engineering, backend development, and

frontend interfaces/dashboards.

- Collaborate closely with data scientists to productionize models and integrate them into robust, scalable

systems.

- Develop and maintain APIs and data services to enable seamless consumption of data and analytics

outputs.

- Build lightweight frontend applications or dashboards to enable business users to interact with data and

insights.

- Deploy and manage solutions on cloud platforms (AWS/Azure), ensuring performance, scalability, and cost

efficiency.

- Implement best practices in DevOps including CI/CD pipelines, containerization (Docker), and

monitoring/logging frameworks.

- Optimize data workflows and system performance for large-scale data processing and real-time/near real time applications
- Work with business stakeholders to understand problem statements and translate them into scalable technical architectures.
- Contribute to development of reusable technical assets, accelerators, and Bain intellectual property.
- Support client discussions by articulating technical approaches and trade-offs in a clear and structured manner.

📌 Associate Fullstack Developer (Gurugram)
🏢 Bain
📍 Gurugram