Streamlit Developer
Location : DallasTX 4 Days in office( Need locals)
Duration : Long Term
Interview Mode L1: Video interview & L2 in person interview
Job Description:
We are looking for a skilled and motivated Streamlit Developer to design and build interactive data-driven dashboards and internal tools. You will work closely with leads analysts and product teams to transform complex datasets and models into clean intuitive web apps using Python and Streamlit.
- Design and develop web-based dashboards and applications using Streamlit
- Integrate data from sources such as APIs Jira GraphQL databases (SQL Server Oracle)
- Automation experience using Selenium PyTest Rest Assured TestNG Cucumber/Serenity leveraging Java or Python as programming language
- Create E2E automation across multiple platforms desktop / mobile
- Create automation frameworks for Micro Services using REST APIs and Web Services
- Extensive experience in programming languages such as Java JavaScript Python & C#
- Work with deployment automation and orchestration with tools such as Jenkins or Gitlab
- Deploy maintain and version-control: Git GitLab
- Able to store code in Git and understand its branching strategy
- Able to use Cloud AWS EC2 SonarQube and Docker
Acts as a subject matter expert to understand the following:
- Application architecture and identify business critical workflows
- Translate business requirements and data analysis into intuitive user interfaces
- Define Automation roadmap for technology stack
- Design and build test automation processes
- Setting up and configuring a test automation suite
- Advice and support for the implementation of all types of automation tools
- Define coding standards and code walk through processes
- Raise risks on time and provide alternate solutions to mitigate the risk
- Mentor & Coach test automation engineers on various coding aspects
- Provide demos presentations for the automation team members and leadership team
- Provide training mentoring to other automation engineers
- Conduct Trouble shooting code debugging root cause analysis and optimize application performance