Python Developer

Job Description
This project focuses on data processing, analysis, and visualization for a complex asset management system. The goal is to enhance predictive maintenance, diagnostics, and operational efficiency through data-driven insights.

The role involves developing Python-based data analysis modules and creating visual dashboards to support maintenance and monitoring operations.

Key Responsibilities

• Develop, test, and optimize Python-based data analysis modules, ensuring integration with existing systems.
• Implement data pipelines, ETL processes, and data integration solutions to normalize and store asset data.
• Design and implement data visualization dashboards to support diagnostics, condition-based maintenance (CBM), and predictive maintenance.
• Collaborate with the technical team to integrate decision-support tools for maintenance operations.
• Review and enhance existing Python code, ensuring best practices and performance optimization.
• Develop and execute unit tests for both new and existing code.
• Write clean, efficient, and well-documented code that considers both performance and maintainability.
• Document technical implementations, including Python scripts, test reports, user manuals, and interface descriptions.
• Genuine enthusiasm for working directly with Customers; effective Customer-facing communication skills.
• Drive continuous improvement through user feedback and metrics-based decision making.
• Break down complex tasks into manageable components and execute them systematically.
• Maintain clear communication through regular code commits and effective use of collaboration tools.
• Participate in technical discussions and progress reviews as needed.

Job Requirements

Required Technical Skills

• 5+ years of professional experience in Python development.
• Strong proficiency in data science libraries (Pandas, NumPy, SciPy, Scikit-learn).
• Expertise in data visualization tools, including Matplotlib, Seaborn, and Plotly.
• Solid understanding of statistical analysis and predictive modeling.
• Proficiency in SQL and relational databases.
• Strong experience with containerization technologies (Docker).
• Familiarity with CI/CD pipelines, version control (Git), and software testing best practices.

Nice-to-have Technical Skills

• Understanding of machine learning fundamentals (algorithms, concepts, and best practices).
• Hands-on experience with machine learning frameworks (TensorFlow, PyTorch).
• Experience with Grafana dashboards and Prometheus monitoring.
• Basic understanding of Kubernetes concepts and ability to work with deployed applications.

The preceding job description had been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and responsibilities required of employees assigned to this job.

What we offer
You will find here not only a challenging and interesting workplace, but also a rewarding work experience, with competitive compensation and benefit packages:

• Career development: opportunity to grow within the team;
• Special referral bonuses for recommending your friends;
• Private Medical subscription;
• A monthly budget for flexible benefits program;
• Flexible working hours and work from home, aligned with project needs;
• Friendly team who is eager to meet you.

What's next

It's best to apply today, because job postings can be taken down and we wouldn't want you to miss this opportunity. In case you need further information, just send us a message at recruitmentEMEA@stefanini.com and we'll be happy to assist!

Diversity & inclusion

Here at the Stefanini Group, we value plurality and equity, regardless of race, sexual orientation, disability, age, ancestry, religion, gender, and nationality. We understand and encourage the importance of being you!

About us

We are a Brazilian company with over 35 years of experience in delivering IT services worldwide, ranging from IT outsourcing to application development or IT staffing. We have a direct presence in 41 countries, through our 70 offices located throughout the world. We have managed to become the preferred partner of many small-to-midsize local and regional companies as well. Most of our clients come from industries such as financial services, manufacturing, telecommunications, chemical, services, technology, public sector and utilities.

Stefanini has career opportunities locally and around the world for professionals interested in a vibrant, passionate, team-oriented workplace. If you are a customer-centric person with a "get it done" attitude, come over for coffee and a talk on your future career with us!

Learn more about us on www.stefanini.com and join us on LinkedIn, Facebook and Instagram where we regularly post insights from our colleagues.

E-mail: recruitmentEMEA@stefanini.com