Fullstack Python/React Engineer (Backend focused)
Descrição da Vaga
We are seeking a **Senior Full\-Stack Engineer** with a strong emphasis on **Python backend development** and **data engineering** to deliver high\-impact business intelligence and data visualization solutions. You'll take ownership of the full data pipeline, from designing robust ETL processes in Python to building interactive, user\-facing dashboards using modern JavaScript/React frameworks. **Must\-have skills:** \- Expert\-level proficiency in **Python** and its relevant ecosystem for backend development (Flask, Django, FastAPI) and data manipulation (Pandas). \- Strong working experience with modern frontend development, specifically **React** and **TypeScript/JavaScript.** \- Proven experience implementing interactive data visualizations using dedicated libraries ( D3\.js , Vega, Plotly, or similar). \- Demonstrated ability to **take end\-to\-end ownership** of complex features and projects, including architecture, implementation, deployment, and monitoring. \- Strong knowledge of SQL and experience with schema design and query optimization for relational databases (PostgreSQL, MySQL). \- Experience contributing to or actively working with open\-source projects, particularly those related to Business Intelligence or Data Visualization. **Nice\-to\-have skills:** \- Direct production experience with **Apache Superset** . \- Deep expertise in **ETL/Data Engineering** tools and concepts (Apache Airflow, dbt, cloud\-based data warehouses). \- Familiarity with containerization (Docker) and cloud services (AWS, GCP, or Azure). \- Experience integrating Python applications with modern authentication and authorization systems (OAuth2, SSO). **The icing on the Kake:** * 💵 **Competitive Pay in USD** – Work globally, get paid globally. * 🏡 **Fully Remote** – Simply put, we trust you. * 🌱 **Better Me Fund** – We invest in your personal growth and passions. * ❤️ **Compassion is Badass** – Join a community that invests in social good.
Vaga originalmente publicada em: linkedin
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