[Remote] Python Software Developer Analytics & Risk (m/f/d)
Note: The job is a remote job and is open to candidates in USA. cloudstrata offers freelancer projects focused on production-grade, quality-assured software solutions in analytics and risk. The Python Software Developer will develop and maintain production software, integrate analytical models into production environments, build ETL and database components, and contribute to software architecture, APIs, quality assurance, and technical ownership.
Responsibilities
- Develop, evolve, and maintain production software solutions with a focus on Python in the analytics and risk domain
- Design and build Python and database components for analytical applications
- Take over, integrate, and operationalize analytical models from data science development (Python and SAS) into production system landscapes
- Integrate and extend existing SAS code components and embed them in existing database and workflow processes
- Develop, extend, and quality-assure data preparation and ETL processes
- Contribute to technical solution design and further development of existing software and system architecture
- Analyze, maintain, and optimize existing applications and technical components
- Develop and integrate service-oriented software components (e.g. REST APIs)
- Work closely with data scientists, business units, and internal development teams
- Support technical architecture decisions and take technical ownership of subdomains
- Conduct code reviews and ensure high software quality
- Monitor and evaluate new technologies and best practices in software engineering and analytics
Skills
- Several years of professional experience in software development with a focus on Python
- Solid experience developing production software solutions and operating and evolving them
- Strong SQL skills and experience building database-centric applications (e.g. Oracle, PostgreSQL, or comparable database systems)
- Experience developing data processing and ETL processes
- Experience integrating and operationalizing analytical models or data science solutions
- Knowledge of SAS or willingness to quickly ramp up on existing SAS components
- Solid knowledge of modern software architectures and service-oriented systems (REST APIs)
- Experience in the technical design and delivery of complex software solutions
- Strong analytical thinking and a structured, self-directed way of working
- Strong communication and teamwork skills
- Excellent German skills, written and spoken
- Nice to have: experience in analytics, risk, or financial services
- Nice to have: experience with container platforms (e.g. OpenShift or Kubernetes)
- Nice to have: requirements engineering skills
- Nice to have: MLOps and deployment processes for analytical applications
- Nice to have: PL/SQL experience
- Nice to have: SAS Viya experience
- Nice to have: technical leadership or mentoring of development teams
- Nice to have: knowledge of modern AI and machine learning technologies
Benefits
- Flexible collaboration
Company Overview