Senior Python Developer, Data Engineer

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CI&T

5001 - 10000 employees

Founded 1995

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $5.5M Venture Round on 2014-04

Consulting • Healthcare • Marketing

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

📋 Description

• Refactor and simplify existing Python production codebases to improve readability, maintainability, and performance • Organize reusable logic into modular, testable Python packages and services • Eliminate duplicated, fragile, or unnecessary code and apply clean code principles • Implement and maintain unit, integration, and regression tests • Replace hard-coded configuration values with scalable abstractions • Improve observability and monitoring of data pipelines and forecasting processes through logging, metrics, alerting, and diagnostics • Automate repetitive development and deployment tasks where appropriate • Produce technical documentation for code, architecture, operational processes, and business rules • Collaborate with engineering teams to evolve the platform without disrupting feature delivery • Recommend technical improvements that increase stability, scalability, and engineering efficiency • Contribute to modernization and evolution of forecasting and data processing platforms • Collaborate with engineers globally on large-scale, business-critical data and forecasting solutions

🎯 Requirements

• Advanced / Fluent English (C1 or higher), mandatory • Strong experience with Python and solid Software Engineering fundamentals • Proven experience refactoring and modernizing existing production systems • Experience designing maintainable, modular, and reusable Python applications • Strong knowledge of automated testing, including unit, integration, and regression testing • Experience debugging and troubleshooting complex production workflows • Solid understanding of Git workflows, code reviews, and collaborative development practices • Ability to work independently in fast-paced and ambiguous environments • Good understanding of Data Engineering concepts, including data pipelines, ETL/ELT processes, data quality, and scalable data processing workflows • Experience with production data pipelines or forecasting systems • Familiarity with Databricks, Spark, or similar modern data platforms • Experience with CI/CD tools such as GitHub Actions, Azure DevOps, or similar • Knowledge of Azure cloud services • Experience migrating notebook-based workflows into production-grade Python applications • Familiarity with data quality validation, monitoring, and observability practices for analytical or forecasting systems

🏖️ Benefits

• Health and dental insurance • Meal and food allowance • Childcare assistance • Extended paternity leave • Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; • Profit Sharing and Results Participation (PLR); • Life insurance • Continuous learning platform (CI&T University); • Discount club • Free online platform dedicated to physical, mental, and overall well-being • Pregnancy and responsible parenting course • Partnerships with online learning platforms • Language learning platform • Health and Well-being team, inclusion specialists, and affinity groups • Support and accommodations for people with disabilities • Support obtaining a disability assessment, if needed

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