- 3+ years of backend development experience with Python

- Understanding of cloud platforms, particularly AWS.

- Proficiency in using Snowflake for database management and optimization.

- Experience working with data-intensive applications.

- Demonstrated ability to build dynamic and static reports using Python libraries such as Pandas, Matplotlib, or Plotly.

- Strong understanding of RESTful APIs and microservices architecture.

- Proficiency with Python frameworks like Django, Flask, or Tornado, including basic skills required to develop and maintain applications using these frameworks.

- Knowledge of both relational and non-relational databases.

- Proficiency with version control systems, especially Git.

- Backend Development : Design, develop, and maintain scalable and resilient backend services using Python, ensuring optimal performance and reliability.

- Data-Intensive Applications : Develop and manage data-intensive applications, ensuring efficient data processing and handling.

- Report Generation : Create dynamic and static reports utilizing common Python libraries (e.g., Pandas, Matplotlib, Plotly) to deliver actionable insights.

- Python Frameworks : Utilize frameworks such as Django, Flask, or Tornado to build and maintain robust backend systems, ensuring best practices in application architecture.

- Cloud Platforms : Deploy and manage applications on cloud development platforms such as AWS and Beacon, leveraging their full capabilities to support our solutions.

- Database Management : Architect, implement, and optimize database solutions using Snowflake to ensure data integrity and performance.

- Stakeholder Collaboration: Engage directly with Tech Owners and Business Owners to gather requirements, provide progress updates, and ensure alignment with business objectives.

- Ownership & Initiative : Take full ownership of projects, driving them from conception through to completion with minimal supervision.

- Software Best Practices : Implement and uphold software development best practices, including version control, automated testing, code reviews, and CI/CD pipelines.

- GenAI Tools Utilization : Utilize GenAI tools such as GitHub Copilot to enhance coding efficiency, streamline workflows, and maintain high code quality.

- Problem-Solving : Proactively identify, troubleshoot, and resolve technical issues, ensuring timely delivery of solutions.