What are the responsibilities and job description for the Python Data Azure Engineer position at SIAL TECHNOLOGY PARTNERS?
Job Details
Python Engineer
Nashville on-site consultant role. Hybrid 3~4 days in-office 8am 4pm CST workday.
Role & Responsibilities:
Work on Python based financial software systems. Build Python software that is scalable, reusable and can be leveraged to solve multiple business-line needs.
Technical Skills:
- Strong knowledge of Python programming language and its frameworks, with a focus on back-end development.
- Knowledge of software development principles and Object-Oriented development and design patterns (C# experience a plus)
- Experience with libraries and frameworks such as NumPy, SciPy, and Pandas for data analysis and algorithm development is a plus.
- Experience with back-end technologies such as Oracle, SQL Server, REST API, microservices , etc.
- Understanding of parallel programming concepts and packages parallelization/multiprocessing/cloud.
- Working experience/knowledge of Azure is a plus ( CI/CD, Kubernetes, Data Factory, Containers/Pods/Docker, [ AWS is ok - Azure equivalent ]
Collaboration:
- Work closely with Team Leads to help drive shared Software Architecture - design scalable and efficient software systems.
- Collaborate with the Infrastructure Engineer to ensure seamless integration and deployment of applications and high scalability on Azure Cloud.
- Coordinate with cross-functional teams, including product management and quality assurance, to deliver high-quality software solutions.
Soft Skills:
- Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex problems.
- Ability to troubleshoot and optimize existing analytics solutions for improved performance.
- Excellent communication and collaboration skills.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.