Sr. Python Developer - NYC, NY Hybrid - (Local Only, F2F Interview) - Only W2
Why This Role Stands Out
This Senior Python Developer role offers an exciting opportunity to leverage your expertise in Python, Streamlit, and Snowflake to build scalable, data-driven applications within a reputable company. You'll thrive here if you're passionate about open-source technologies and possess strong problem-solving skills, contributing to impactful business intelligence initiatives. Apply today to join a dynamic team in a hybrid work environment.
Quick Overview
Job Description
Role: Senior Python Developer
- Must have at least 8+ years of experience working with Python Development.
This is one of key requirement. Python, Streamlit and API & UI integration to manage dashboard, Snowflake/ any other strong SQL are key experience.
We are seeking a skilled Open-Source Developer with strong expertise in Python, Snowflake and Streamlit to design, develop and maintain scalable data-driven applications.
- The ideal candidate will have a passion for open-source technologies, strong problem-solving skills, and the ability to deliver high-quality solutions that support business intelligence and analytics initiatives.
Develop, test, and maintain Python applications with a focus on performance and scalability.
- Design and optimize SQL queries and data models within Snowflake to ensure efficient data pipelines.
Build interactive Streamlit dashboards and data applications for business users and stakeholders.
Contribute to and leverage open-source libraries, ensuring code is reusable, modular, and well-documented.
Participate in code reviews, maintain version control (Git), and contribute to continuous integration and deployment processes.
Required Qualifications:
Strong proficiency in Python programming (data manipulation, API integration, and automation).
Hands-on experience with Snowflake (SQL, performance tuning, and warehouse management).
Proven ability to develop Streamlit dashboards and interactive data applications.
Familiarity with data modeling, ETL processes, and cloud-based data solutions (AWS, Google Cloud Platform, or Azure preferred).
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 for dashboards.
Contributions to open-source projects (provide GitHub or portfolio links if available).
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