Django Python Developer for Data-Driven Ecommerce

Rockcruit

Argentina

A distancia

ARS 1.800.000 - 3.000.000

Jornada completa

14 días+

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Descripción de la vacante

Rockcruit is building and maintaining a Django-based backend powering home furnishings storefronts and a custom storefront API. You’ll tackle real-world data challenges, vendor feeds, and pricing logic, while also exploring AI-driven automation to improve processes across merchandising, customer service, and operations.

You’ll collaborate with the lead developer to deliver reliable code, tests, and scalable infrastructure, with a focus on data quality and efficient API design for a growing

Formación

  • Strong Python development experience with Django (ORM, migrations, admin).
  • Solid SQL and PostgreSQL, ability to read query plans and push work into DB where sensible.
  • Experience building and consuming APIs (Django Ninja, OpenAPI, Pydantic a plus).
  • Experience handling messy real-world data: CSV/Excel imports, vendor feeds, scraping, ETL.
  • Ability to work with TypeScript/React for storefront work spanning repos.
  • Good judgment on when automation helps and when a script or process is better.
  • Clear written communication for PRs, docs, and tickets.

Responsabilidades

  • Develop and maintain backend features in Django and the storefront API.
  • Handle vendor feeds, pricing/data pipelines, and data quality across catalog.
  • Replace Shopify with a Django-based API and React storefront where needed.
  • Build Elasticsearch-backed search, facets, and recommendations.
  • Identify manual, repetitive work and automate with scripts or LLM-based workflows.
  • Assist with infrastructure tasks using AWS, Cloudflare, and Terraform.

Conocimientos

Python
Django
SQL
APIs
TypeScript/React
Automation/LLM
Written communication

Herramientas

Django Ninja
Pydantic
OpenAPI
AWS
Cloudflare Workers
Elasticsearch
OpenTofu/Terraform

Descripción del empleo

Rockcruit is building and maintaining a Django-based backend powering home furnishings storefronts and a custom storefront API. You’ll tackle real-world data challenges, vendor feeds, and pricing logic, while also exploring AI-driven automation to improve processes across merchandising, customer service, and operations.

You’ll collaborate with the lead developer to deliver reliable code, tests, and scalable infrastructure, with a focus on data quality and efficient API design for a growing

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