Python for Data Science

Help design, build and continuously improve the clients online platform. Research, suggest and implement new technology solutions following best practices/standards. Take responsibility for the resiliency and availability of different products. Be a productive member of the team. Requirements Strong engineering skills in Python, including object-oriented programming, design patterns, and unit testing Hands-on experience in data processing with Python, primarily using Pandas Solid understanding of REST API integration and data exchange in Python applications Experience with data orchestrators such as Airflow, Dagster, or Mage.

ai Proficient in SQL and DBT (Data Build Tool) for data modeling and transformation Familiar with Azure resources including Storage Accounts, Key Vaults, and Azure Databases Good understanding of Git for version control and Docker for containerized development Comfortable working in Visual Studio Code, including . devcontainer environments Ability to develop a basic Python REST API application that: Interacts with a database, Queries and processes data using business logic, Serves responses through API endpoints Adheres to clean code and best practices, with the ability to justify technical choices Experience writing unit and integration tests, including:

Testing business logic, Testing API endpoints Collaborate with business stakeholders to gather requirements and provide feedback Analyze business problems and propose data-driven or optimization-based solutions Develop, deploy, and monitor optimization models in production Improve performance and accuracy of existing data pipelines and models Conduct ad hoc data analysis to address immediate business needs Benefits A challenging, innovating environment. Opportunities for learning where needed.