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Your 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
Your profile
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
What we offer
Freelancer project via cloudstrata focused on production-grade, quality-assured software solutions in analytics and risk. Expected outcome: analytical models successfully integrated into production system landscapes and evolved ETL processes and software architectures. Direct contact at cloudstrata and flexible collaboration.
Work arrangement
Yes
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