Associate Fullstack Developer

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.

• Strong 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.