Software Engineer III

Data Engineer / Full Stack Engineer (Python, Django, Nuxt, AWS)

Position Summary

We are seeking a highly skilled Data Engineer / Full Stack Engineer with strong experience in Python-based backend development, modern frontend frameworks, data engineering, and AWS cloud services . This role will be responsible for building and maintaining scalable applications, data pipelines, APIs, and cloud-native services that support enterprise platforms and automation ecosystems.

The ideal candidate will have hands‑on expertise in Django/DRF ,
Nuxt/Vue ,
AWS serverless and infrastructure services , and data transformation frameworks including AWS Glue . This individual should be comfortable working across backend systems, frontend applications, cloud infrastructure, and data engineering workflows in a distributed Agile environment.

Key Responsibilities

• Design, develop, and maintain scalable backend services using Python, Django, and Django REST Framework (DRF) .

• Build and document RESTful APIs using DRF / OpenAPI / Swagger .

• Implement robust data validation and API response modeling using Pydantic .

• Develop secure authentication and authorization mechanisms using django-rest-knox ,
  OAuth , and MSAL/Azure AD integrations .

• Create and maintain modern frontend applications using Nuxt 4, Vue 3, and Type Script .

• Manage frontend state using Pinia and build responsive UI solutions with Tailwind CSS and Nuxt UI .

• Design and optimize data engineering pipelines for ingestion, transformation, validation, and delivery of structured and semi‑structured data.

• Build and support ETL/ELT workflows using AWS Glue ,
  Pandas ,
  Num Py , and other transformation tools.

• Develop data transformation processes to improve data quality, consistency, and downstream usability.

• Implement event‑driven and asynchronous architectures using AWS SQS, SNS, Lambda, and Event Bridge .

• Build and support serverless applications using AWS Lambda and Mangum (ASGI adapter) .

• Manage caching and session layers using Redis / Elasti Cache .

• Design and optimize relational database solutions with PostgreSQL 14+ , including schema design, indexing, and query performance tuning.

• Develop reusable and modular adapter patterns for structured data entities and integrations.

• Provision and manage cloud infrastructure using AWS CDK (Python) and Terraform .

• Support containerization and deployment workflows using Docker and Amazon ECR .

• Build and maintain CI/CD pipelines with Git Hub Actions , including automated testing and deployment.

• Ensure software quality through unit, regression, functional, and load testing practices.

• Participate in code reviews , architecture discussions, and Agile ceremonies with distributed teams.

• Follow AWS security and operational best practices, including IAM, Secrets Manager, WAF, and secure credential handling .

Required Technical Skills

Backend Development

• Python, Django, Django REST Framework (DRF)

• Pydantic for data validation and API response modeling

• RESTful API design with DRF (OpenAPI/Swagger documentation)

• Token‑based authentication using django-rest-knox

• Asynchronous processing with AWS SQS message queues and Lambda event sources

• Serverless architecture using AWS Lambda with Mangum (ASGI adapter)

• Redis for caching and session management

• PostgreSQL 14+ (relational database design, query optimization)

• Pandas/Num Py for data processing and transformation pipelines

• OAuth/MSAL integration (Azure AD via django-auth-adfs, MSAL)

• Modular adapter patterns for structured data entities

Frontend Development

• Nuxt 4 (Vue 3, Type Script), Server‑Side Rendering

• Pinia for state management

• Tailwind CSS 4 and Nuxt UI 3 component library

• Azure MSAL Browser for frontend authentication

• Vitest for unit testing, Playwright for E2E testing

Data Engineering

• Data engineering experience…