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Senior Python Developer

Ohm Systems, IncNew York, NY🇺🇸United StatesPosted Sep 16, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
New York, NY, United States
Posted
Yesterday
DockerSQLAWSETLSnowflakeAzureGitGoogle CloudPandasPython

Job Description

Senior Python Developer

Location: NYC

Engagement Type : 6-12 months

Interview Mode: 1 F2F in NYC

 

Job Description
  • This is one of key requirement.  Python , Streamlit and API & UI  integration to manage ddashboard, 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.
Key Responsibilities
  • 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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