Beschreibung
We are currently looking for a Data Scientist to join a KatAnA project (capacity analysis tool). The application supports intelligent capacity management in the target image and utilization hotspots can be identified via a graphical representation.You will further develop data models, automate data connections, and implement them based on new interface agreements using Python in the context of a modern cloud architecture (AWS) The technologies used are: Python, Docker, Gitlab-CI, AWS Step Functions, AWS Batch, AWS S3, AWS RDS (MS SQL Server & Postgres). Additionally you will develop data pipelines and ETL routes in Python with AWS Step Functions. As a Data Scientist, you will create interface agreements, coordinate them with relevant stakeholders, and ensure the necessary framework conditions for productive operation. Further tasks are to carry out the Risk2Value assessment of the product "Capacity and Analysis Tool" and take care of the operation of the application in the AWS Cloud, importing data updates via the developed ETL processing routes.
Project details:
• Starting period: 01.09.2022
• Ending period: 31.12.2022 (Possible extension)
• Full-time: (5 days/week)
• Location: Remote & Frankfurt (10%)
• Language: German
Experience:
• Software development with Python
• Database design for big data applications
• AWS, particularly with S3, RDS, Step Functions, AWS Batch desired
• Visualization (e.g. Tableau, Qlik, Dash, React)
• Automated tests with PyTest
• Development of ETL
• AI development projects (Tensorflow, Keras)
• Independent, highly structured, responsible and quality-conscious work, as well as teamwork and communication skills, responsible project roles
• Application with an end-to-end DevOps approach
• Agile methods such as SCRUM, SaFe, etc
Do you have someone in your network, who might be interested, we will be happy to work together!