Senior Python Pandas

Job Description

• This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Python Pandas based in Brazil. This role is designed for a senior engineer who thrives at the intersection of backend development, data processing, and cloud-native architecture. You will contribute to building and evolving scalable Python-based applications in AWS environments, working with large-scale data manipulation using Pandas and NumPy. The position combines backend engineering, data-intensive processing, and occasional frontend contributions in React. You will be part of a highly collaborative, agile team focused on delivering robust, high-performance systems. The environment is modern, cloud-first, and driven by engineering excellence, automation, and continuous delivery. Your work will directly impact system scalability, data reliability, and application performance across critical business solutions.
• Accountabilities: You will be responsible for designing, building, and maintaining scalable backend services and data-driven applications in Python, ensuring performance, reliability, and clean architecture. The role also involves working with cloud infrastructure and contributing to end-to-end delivery pipelines. Develop and evolve backend applications using Python with frameworks such as Django or FastAPI Work extensively with Pandas and NumPy for large-scale data manipulation and analysis Contribute to full software development lifecycle, including design, testing, deployment, and maintenance Build and maintain containerized applications using Docker and CI/CD pipelines Support deployments and cloud operations in AWS environments (ECS, EKS, S3, RDS, CloudWatch) Collaborate on occasional frontend tasks using React when needed Participate in code reviews, propose improvements, and enforce best engineering practices Requirements You should bring strong experience in Python backend development combined with solid expertise in data processing and cloud environments. A hands-on mindset, analytical thinking, and experience working in distributed systems are essential. Strong experience in Python backend development Advanced knowledge of Pandas and NumPy for data processing Hands-on experience with AWS services such as ECS, EKS, S3, RDS, and CloudWatch Experience with at least one backend framework: Django or FastAPI (Flask is a plus) Solid understanding of Docker and containerized environments Experience with CI/CD pipelines (GitHub Actions, GitLab CI or similar) Familiarity with React for frontend development (nice to have) Strong knowledge of Git, testing practices, and clean code principles Experience working in agile teams (Scrum or Kanban) is a plus Exposure to observability tools and distributed systems is a differential Knowledge of Snowflake and dbt is a plus Benefits Health and dental insurance Meal and food allowance Childcare assistance Extended parental leave Wellhub (Gympass) and TotalPass partnerships Profit sharing (PLR) Life insurance Continuous learning platform (CI&T University) Discount club Wellbeing platform (physical and mental health support) Parenting support programs Language learning platform Access to online courses and educational partnerships.
• How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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