Developer, Python

🕒 April 14

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 76%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Dadoteca

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Dadoteca is a Brazilian data consultancy that transforms data into actionable knowledge through Business Intelligence, Advanced Analytics, Artificial Intelligence, automation, and data architecture & governance. As a Microsoft Gold Partner for Data Analytics and a Databricks Consulting Partner, Dadoteca delivers consulting and outsourcing services using Power BI, Azure, SQL Server and Python for clients across sectors (energy, retail/shopping centers, healthcare) in Brazil and internationally. The company focuses on tailored implementations, dashboards, ETL pipelines, automation and AI-driven solutions to improve strategic decision-making and operational performance.

📋 Description

• Develop and maintain distributed, high-availability applications using Python • Build and evolve APIs with FastAPI, Flask and Uvicorn • Integrate solutions with machine learning models using TensorFlow, PyTorch and OpenCV • Work on integration with relational and vector databases (PostgreSQL) • Operate in Cloud Native environments using containers and Docker • Manage code versioning using Git Flow, handling branches for development, QA and production • Support deployment processes and code promotion in Azure pipelines (CI/CD) • Create and manage branches for change management (GMUD) and production releases • Expose and manage backend routes via API Management (APIM)

🎯 Requirements

• Experience developing in Python • Experience with Cloud Native environments, containers and Docker • Experience with distributed applications and high-availability systems • Knowledge of FastAPI, Flask and Uvicorn • Experience with machine learning and computer vision libraries (TensorFlow, PyTorch, OpenCV) • Experience with Git Flow and code versioning • Knowledge of database integration, especially PostgreSQL

🏖️ Benefits

• Remote • Temporary • Full-time

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