Python Engineer

• Practice Development & Integration

• Technologies Development Skills

• Location Sao Paolo, Brazil

• Type Contract

Senior Python Developer

Join a fast-paced engineering team focused on building scalable backend systems, automating complex workflows, and powering data-driven decision making. In this role, you will design backend services, develop robust web-scraping solutions, and build data pipelines that support internal operations and data science initiatives.

What You’ll Do

Process Automation & Backend Development

• Design and implement automated systems that improve internal processes and operational efficiency.

• Build scalable backend services that integrate seamlessly with existing infrastructure.

• Ensure services meet standards for reliability, performance, and maintainability.

Web Scraping & Data Extraction

• Develop and maintain scrapers for a variety of external sources.

• Handle dynamic content, authentication, rate limits, and anti-bot challenges.

• Implement strong error handling, logging, and retry logic.

Data Manipulation & Processing

• Clean, transform, and process large structured and unstructured datasets.

• Build and maintain ETL/ELT pipelines that deliver high-quality data to downstream systems.

Monitoring & Observability

• Implement monitoring for system performance, data quality, and operational metrics.

• Build dashboards and alerts to ensure reliability and data integrity.

Data Science Collaboration

• Provide the infrastructure, pipelines, and tools needed for data science experiments and model deployment.

• Partner with data scientists to deliver datasets and backend services that accelerate analytics work.

Code Quality & Engineering Best Practices

• Use test-driven development and maintain strong unit/integration test coverage.

• Perform code reviews and promote engineering standards and best practices.

• Follow modern Python packaging and dependency-management practices.

CI/CD & Infrastructure

• Build and maintain CI/CD pipelines for automated testing and deployment.

• Collaborate with DevOps on containerization and orchestration efforts.

Lifecycle Ownership & Continuous Improvement

• Own the full lifecycle of backend services from development to deployment and ongoing improvement.

• Identify opportunities to reduce technical debt and enhance system resilience.

What You’ll Bring

Technical Expertise

• Advanced Python proficiency, including experience with modern backend frameworks (e.g., FastAPI).

• Strong understanding of HTTP, RESTful APIs, and core web technologies.

• Experience working in Linux environments.

Web Scraping & Automation

• Practical experience with scraping libraries and tools (e.g., BeautifulSoup, Scrapy, Selenium, Playwright).

• Ability to manage JavaScript-rendered content, sessions, and complex authentication flows.

Data Manipulation

• Strong experience with Python data libraries (pandas, polars, NumPy).

• Solid SQL skills and familiarity with common data formats (JSON, CSV, XML, HTML).

Monitoring & Observability

• Experience with tools such as Datadog or similar platforms.

• Ability to define, track, and monitor key metrics, logs, and alerts.

Databases & Storage

• Hands-on experience with relational databases (e.g., PostgreSQL).

• Familiarity with ETL/ELT concepts and data-warehouse fundamentals.

CI/CD & DevOps Collaboration

• Experience with automated build/test/deploy pipelines.

• Familiarity with Docker and Kubernetes.

Data Science Support

• Understanding of data science workflows and the infrastructure needed for experimentation and deployment.

• Experience building tools and services for ML and analytics use cases.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

• 5+ years of professional Python backend development experience.

• 3+ years of experience with web scraping and multi-source data extraction.

• Proven experience building scalable backend systems and automated processes.

• Experience with monitoring/observability tools.

• Strong SQL experience and familiarity with relational databases.

• Proficiency with Linux, Git, and command-line tools.

Preferred Qualifications

• Experience with asynchronous/concurrent processing (e.g., asyncio, Celery).

• Exposure to logistics, transportation, or supply-chain concepts.

• Experience with microservices or distributed systems.

• Familiarity with data engineering tools (dbt, Airflow, Prefect).

• Experience building APIs that integrate with machine-learning pipelines.

• Open-source contributions related to scraping, data engineering, or automation.

• Experience using LLM-powered development tools in everyday workflows.

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