Description

You will build and maintain scalable Python applications and data pipelines within a Snowflake environment.

Responsibilities

• Develop, test, and maintain Python applications focused on performance and scalability.
• Design and optimize SQL queries and data models in Snowflake to ensure efficient pipelines.
• Build interactive Streamlit dashboards and data applications for business stakeholders.
• Contribute to open-source libraries using modular, well-documented code.
• Participate in code reviews, Git version control, and CI/CD processes.

Required Skills

• 7–10 years of experience in software development or data engineering.
• Strong proficiency in Python for data manipulation, API integration, and automation.
• Hands-on experience with Snowflake, including SQL, performance tuning, and warehouse management.
• Proven ability to develop Streamlit dashboards and interactive data applications.
• Experience with data modeling and ETL processes.
• Familiarity with cloud-based data solutions such as AWS, GCP, or Azure.
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field, or equivalent hands-on experience.

Preferred Skills

• Experience with pandas and other Python data libraries.
• Knowledge of Docker or containerization for application deployment.
• Understanding of data visualization best practices and UI/UX principles.
• Contributions to open-source projects.

Key Skills

Education

Any Graduate