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We are looking for a Senior Anaconda Enterprise Engineer within the financial sector. By joining this team, you will have the opportunity to define the next generation of large-scale collaboration and information management solutions.
Missions
Install, configure, and deploy Anaconda Enterprise platform components according to the requirements.
Setup Anaconda Enterprise clusters on-premises, ensuring scalability, high availability, and security.
Develop high-quality Python libraries and packages that address specific needs within the user community. Write clean, efficient, and well-documented code adhering to established coding standards and best practices.
Implement new features, enhancements, and bug fixes in response to user feedback and community contributions. Ensure compatibility of Python libraries with different versions of Anaconda Distribution and other popular Python distributions.
Monitor infrastructure health, performance, and resource utilization to ensure optimal operation of Anaconda Enterprise services.
Configure user authentication mechanisms, access controls, and permissions within the Anaconda Enterprise platform.
Manage user accounts, groups, and roles to enforce security policies and ensure compliance with organizational guidelines.
Customize Anaconda Enterprise environments to meet the specific needs of data science teams and projects.
Install and manage additional packages, libraries, and dependencies required for data analysis, Machine Learning, and other tasks.
Provide technical support and troubleshooting assistance to users encountering issues with Anaconda Enterprise platform usage.
Diagnose and resolve infrastructure, configuration, and compatibility issues affecting Anaconda Enterprise deployments.
Monitor and optimize the performance of Anaconda Enterprise environments, including system responsiveness, resource utilization, and job execution times.
Identify and address bottlenecks, inefficiencies, and scalability challenges to ensure smooth operation of data science workflows.
Skills
You hold a Master's degree or an equivalent professional qualification is required
You are proficient in Python programming language.
You have a good understanding of data science concepts and methodologies.
You have some experience with Anaconda Python platform. Experience with Anaconda Enterprise platform is nice to have.
You are familiar with data manipulation and analysis libraries such as pandas, Num Py, and Sci Py.
You have a good understanding of containerization technologies like Docker and Kubernetes.
You have some experience with cloud platforms (e.g. AWS, Azure).
You have some experience with Version Control systems like GIT.
You have the ability to install, configure, and manage Anaconda Enterprise components and clusters (on premises and/or cloud environments).
You have some knowledge of Anaconda Enterprise security features and best practices for securing data and environments (including user access, permissions, authentication mechanisms).
You are fluent in English language
Recruitment process
The pre-qualification interview with our Recruitment Manager
Receipt of our salary proposal / exclusivity agreement
2nd interview with our Business Manager
Technical tests and / or interview with our CTO Florian Sey
Proposal of your application to the client
Interview at the client's premises, which can be conducted either by video or in person
Our offer
Working in a Great Place to Work based in Luxembourg, and Paris
Attractive salary and pretty cool benefits (meal vouchers, mobile subscription...)
Develop your skills and ideas over a coffee, a beer or a pizza during our Neo'vations
Evolve within a strong company culture, you'll join us for the opportunity and you'll stay because we're super cool (well according to 97% of our employees NEOFACTO Annual Survey 2022)
Between afterworks, innovative workshops and ski weekends, there's never a dull moment when you're part of the Neo'Squad