Responsibilities
* Design & Maintain Data Analytics Workspace (DAWS)
o Develop, enhance, and support DAWS, an Azure Machine Learning workspace for data scientists.
* Develop & Maintain RPMDA Tools
o Create and improve the RPMDA Python package to simplify interactions with the data platform.
* Build and optimize data pipelines for processing large-scale digital biomarker sensor data.
* Support Data Scientist Onboarding
o Assist new users in accessing and utilizing DAWS effectively.
* Investigate and fix issues reported by data scientists to ensure smooth data analysis.
* Participate in Agile Development
o Actively contribute to Scrum ceremonies and sprint goals.
* Conduct Code Reviews & Technical Discussions
o Provide feedback on code quality and engage in deep technical discussions.
* Collaborate with Cross-Functional Teams
o Work closely with DevOps, Data Engineers, Cloud Engineers, and Solution Architects.
* Create and maintain comprehensive DAWS training materials.
* Ensure Cloud Scalability & Performance
o Optimize cloud-based infrastructure and ensure efficient resource utilization.
* Implement Best Practices in Software Development
o Follow industry best practices for clean, efficient, and maintainable Python code.
* Utilize Git, GitLab, and Azure DevOps to automate deployments and maintain version control.
* Stay Up to Date with Industry Trends
o Continuously improve expertise in Python, cloud computing, and data engineering advancements.
Requirements
* Strong Python Development Expertise
o Multi-year experience in Python for software development, including libraries like pandas and DASK.
* Experience with Cloud-Based Solutions
o Hands-on experience with large-scale cloud environments, particularly Microsoft Azure.
* Ability to design and implement data pipelines for large-scale sensor data analysis.
* Agile Development Methodologies
o Experience working with Agile frameworks, particularly Scrum.
* Version Control & CI/CD Knowledge
o Proficiency in Git, GitLab, and CI/CD solutions for automated testing and deployment.
* Containerization & Orchestration
o Understanding of Docker and Kubernetes for scalable application deployment.
* Database Management Skills
o Experience with NoSQL databases like MongoDB for efficient data storage and retrieval.
* Strong Problem-Solving & Debugging Skills
o Ability to analyze complex issues and develop effective solutions.
* Ability to collaborate with technical and non-technical stakeholders.
* Software Engineering Best Practices
o Familiarity with clean code principles, unit testing, and performance optimization.
* Ability to Work in a Fast-Paced Environment
o Capable of handling multiple priorities while delivering high-quality solutions.
* Training & Documentation Experience
o Ability to create technical documentation and provide training to users.
* Strong communication skills in English for working in an international environment.
What we offer
* B2B Contract
o Employment based on a B2B contract.
* Stable and Dynamic International Firm
o Opportunity to work in a stable, dynamically developing international company.
* Engaging Projects and Latest IT
o Chance to participate in interesting projects and work with the latest information technologies.
* Competitive Rates
o Attractive remuneration rates offered.
* Renowned International Projects
o Involvement in the most prestigious international projects.
* Multisport and Private Medical Care
o Access to Multisport benefits and private healthcare services.
Nice to have
* Experience with R Programming
o Knowledge of R is an asset but not required.
* Expertise in DevOps Practices
o Familiarity with DevOps principles, infrastructure as code, and cloud automation.
* Experience with Azure Machine Learning
o Prior experience with Azure ML is beneficial.
* Background in Clinical Data & Digital Biomarkers
o Familiarity with clinical data workflows and digital biomarker analysis is a plus.
Apply & join the team
Didn’t find anything for yourself? Send your CV to praca@seargin.com
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