Python Developer Analyst - 245014

Description

Job Summary: The professional will develop and implement process automation solutions using various programming languages and technologies, with a focus on reducing errors and increasing productivity. Key Highlights: 1. Development of web applications using Python. 2. Application of agile development principles (Scrum, XP, Kanban). 3. Integration of DevOps and DevSecOps practices. Qintess is a specialist in enhancing the essence of your business. Our digital transformation solutions enable your company to operate with speed and flexibility, keeping pace with the constant evolution of the market. Aligned with best ESG practices, we develop intelligent and innovatively designed digital capabilities to support our clients on their journey toward sustainable growth. Today, Qintess has approximately 3\.000 employees and over 800 clients, operating in nine countries. Among our key clients are seven of the world’s top ten financial institutions, eight of Brazil’s top ten public utility companies, and two of the country’s three largest telecommunications companies. Qintess. Accelerate your essence. \- Responsibilities: * Develop and implement process automation solutions. * Use various programming languages and technologies focusing on: + Reducing errors and costs. + Improving service and process quality. + Increasing productivity. + Developing web applications using Python. + Applying agile development principles (Scrum, XP, Kanban). + Designing solutions with layered architecture, MVC, and microservices. + Integrating DevOps and DevSecOps practices into development cycles. + Configuring and maintaining geotechnology-related tools and platforms. Requirements: * Education and Experience: + Completed undergraduate degree. + Minimum of 5 years of experience in Python-based web development. + Experience with Python for AI. * Agile Methodologies + Practical knowledge of: - Agile Manifesto. - Scrum. - Extreme Programming (XP). - Kanban. * Software Architecture and Design: + Design patterns. + Three-tier architecture and MVC. + Microservices-based architecture. * Technologies and Tools + Languages and Frameworks: - Python (primary). - Django, with focus on GeoDjango. - Celery. + Geotechnologies: - Leaflet, GeoServer, MapServer, OpenLayers, MapProxy/MapInk. - GDAL, OGR, and Proj4 libraries\. - GeoNode platform. * Authentication: + ICP\-Brazil standard digital certification. * Servers and Infrastructure: + Nginx. + Containers: Docker and Kubernetes. * Databases: + Transactional: PostgreSQL with PostGIS. + NoSQL: MongoDB and Redis. * Development Tools: + Version control: Git and Subversion. + CI/CD: Jenkins, GitLab, and Maven.