Consultant- Full Stack

Key Responsibilities Solution Design & Execution

• Design, build, and deploy full-stack web applications across Viscadia's forecasting and analytics platforms, owning frontend, backend, APIs, databases, and cloud delivery.
• Develop responsive, performant frontends using React/Next.js and TypeScript, with strong attention to UX, accessibility, and component reusability.
• Build scalable backend services and APIs (REST/GraphQL) using Node.js or Python, including authentication, business logic, and third-party integrations.
• Design and optimize relational and analytical data models (PostgreSQL, Snowflake), and integrate ETL outputs into product-facing features.
• Deploy and operate solutions on AWS or Azure using Docker, CI/CD pipelines, and infrastructure-as-code.
• Translate client and business requirements into technical designs, API contracts, data models, and sprint-ready implementation plans.
• Develop POCs and pilots for new product capabilities, including dashboards, in-app workflows, and AI-enabled features.
• Lead end-to-end execution of assigned modules from requirements through design, build, testing, deployment, and handover.
• Enforce engineering standards across performance, security, observability, and code quality.

Skills

Must Have

• 58 years of experience in full-stack software development, platform engineering, or technology consulting, preferably within pharma, healthcare, or data-intensive enterprise environments.
• Bachelors or Masters degree in Engineering, Computer Science, Information Technology, Data Science, or a related field; advanced degree preferred.
• Strong hands-on expertise across full-stack application development, including:

oModern frontend frameworks such as React, Angular, or Vue.js

oBackend development using Node.js, Python, Java, or similar technologies

oAPI development, microservices, and system integration

oDatabase design and optimization across SQL and NoSQL ecosystems

• Strong experience building scalable, cloud-native applications using AWS, Azure, and/or Snowflake-based ecosystems.
• Proven experience developing and deploying enterprise-grade applications with strong focus on performance, security, scalability, and maintainability.
• Experience with data engineering concepts, ETL/ELT pipelines, and integration of analytics or reporting capabilities into applications and platforms.
• Solid understanding of enterprise software engineering best practices, including:

oSystem design and architecture

oCI/CD pipelines and DevOps practices

oVersion control and code-review processes

oTesting, monitoring, and release management