Full Stack Python Developer

vor 2 Wochen

Zürich, Zürich, Schweiz SCOR Vollzeit

As a team member of the IT Internal Modelling team within the Pricing & Modelling Crew you will be engaged in shaping the front-to-back logic of running computationally intensive applications which use the state of art technologies such as Python, DataBricks, Docker and Microsoft Azure.

Key duties and responsibilities

Design, efficient, testable, reusable, and reliable code in Python, Docker on a web platform Implementation and enhancement of the Front end and Back end of applications responsible for task orchestration Implementation and design of the solution on the cloud (mainly Microsoft Azure) Working on solutions which uses Linux, Docker, DataBricks, JupyterHub, SQL Server, ... Closely work together with IT Technical team to handle automation, incidents, and 3rd level support Integration of user-facing elements with server-side logic Work collaboratively in architecting/developing solutions Working with the team of very skilled Quantitative Developers Stay abreast of emerging technologies/industry trends

Required experience & competencies

7+ years professional experience building complex, scalable applications is essential Proficient understanding of Git and DevOps standards is essential Thorough knowledge of Python and Docker is essential Proficient in overall web development and web architecture Firm grasp of OOP, FP & SOLID design principles Experience working with scrum or other agile methodologies Several years in Financial Services industry, preferably Insurance/Reinsurance Very good knowledge of English Good communication skills with IT and Business Fast Learner Team spirit Good analytical skills Interested in learning new technologies In addition the following will be considered of advantage: Previous experience on building solutions on the cloud (Azure or AWS) Knowledge in building big data application (i.e.: Spark, Databricks, etc.) Previous experience with .NET/C#

Required Education

University degree in computer science or holder of an acknowledged IT diploma. Alternatively, degree in business administration, mathematics or other with subsequent profound IT education and training

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