Python Developer

Ohm Systems
New York, NY, United States
about 2 months ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Microsoft Azure Cloud Database Code Review Computer Programming Continuous Integration Extract Transform Load (ETL) Data Visualization Database Applications Github Python (Programming Language)
+16 more
Open Source Technology Performance Tuning Standard Sql Software Deployment SQL Databases Data Processing Google Cloud Snowflake Git Fastapi Pandas Containerization Streamlit Framework Software Version Control Data Pipelines Docker

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.., * 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.

Requirements

  • 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., * 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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