Python, Snowflake & Streamlit -Developer

Overview

Remote
$60 - $80
Contract - W2

Skills

API
Amazon Web Services
Analytics
Business Intelligence
Cloud Computing
Conflict Resolution
Continuous Integration
Continuous Integration and Development
Dashboard
Data Engineering
Data Manipulation
Data Modeling
Data Visualization
Docker
Extract
Transform
Load
FOCUS
Git
GitHub
Good Clinical Practice
Google Cloud Platform
Microsoft Azure
Open Source
Pandas
Problem Solving
Python
SQL
SQL Tuning
Scalability
Snow Flake Schema
Software Development
UI
User Experience
Version Control
Warehouse Management

Job Details

Responsibilities

Python, Snowflake & Streamlit _

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).
Education & Experience
Bachelor's or Master's degree in Computer Science, Data Science, or related field (or equivalent hands-on experience).
7-10 years of experience in software development or data engineering roles

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