Python Engineer for Anaconda Enterprise Platform

ECKXEL EU Partners

France

Hybride

EUR 55 000 - 85 000

Plein temps

14 jours+

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Résumé du poste

ECKXEL EU Partners is seeking a Python Engineer to collaborate with developers and stakeholders in an Agile setting. You will design, develop and support Python solutions for a large financial public institution and produce reports based on financial statements and models.

You will create high-quality Python libraries, APIs, and support cloud transformation with IaC (Terraform) and Azure pipelines. You will ensure compatibility with Anaconda, monitor performance, and secure access controls for

Qualifications

Bachelor's degree preferred or equivalent experience.
Strong proficiency in Python programming language.
Experience with Python frameworks such as FastAPI, Flask, Django.
Experience with Python Package Managers, especially Conda.
Experience with cloud platforms (e.g. AWS, Azure).
Experience with DevOps principles and security scanning tools.
Understanding of data science concepts; ML/MLOps a plus.
Familiarity with pandas, NumPy, SciPy for data analysis.
Understanding of Docker and Kubernetes.

Responsabilités

Design, develop and support custom Python solutions for a financial public institution.
Develop high-quality Python libraries and packages with clean, documented code.
Provide guidance for developing modern APIs ensuring resilience, availability, scalability and security.
Support cloud transformation, including IaC using Terraform and Azure pipelines for CI/CD.
Implement new features, enhancements and bug fixes; ensure compatibility of Python libraries with Anaconda Distribution.
Monitor infrastructure health and resource utilization for Anaconda Enterprise services.
Configure user authentication, access controls and permissions within the Anaconda Enterprise platform.
Manage user accounts, groups and roles to enforce security policies.
Customize Anaconda Enterprise environments for data science teams and projects.
Install and manage additional packages and dependencies for data analysis and ML.
Provide troubleshooting assistance to users encountering issues with Anaconda Enterprise.
Diagnose and resolve infrastructure and configuration issues affecting deployments.
Monitor and optimize performance of Anaconda Enterprise environments.