Python Developer

Job Title

Python Developer

Location

Fort Mill, SC - hybrid, 3 days a week

Duration

12 Months

Interview cycle

3 rounds - 2 technical and 1 generic (first and second rounds will be in person)

Summary

• Python developer with React front-end and Python backend experience, responsible for developing and helping maintain our AWS-hosted web application.
• Collaborates with data modelers, analysts, and business users to ensure ongoing development with different product teams.

Skills & Experience

• Shown experience with 5+ years in an enterprise environment.
• Solid grasp of OOP principles, experience using common libraries for data manipulation (pandas, NumPy, DATETIME, regex functions).
• 2+ years of front-end development with experience in React, JS, HTML, and CSS.
• 1+ years of experience in SQL Server writing basic queries and implementing SP's.
• Knowledge of version control systems (e.g., Git; we use Bitbucket and GitLab)
• Experience in crafting comprehensive documentation using systems like Confluence and bug tracking software like Jira.
• Proficient in using testing frameworks (UnitTest, Pytest, Jest) to ensure code quality and maintainability.

Desirable

Hands-on experience with AWS, AZURE, or other cloud providers. Experience with Databricks, ADF, Glue, ETL's, and ELT's.

• Shown ability to work inclusively, communicate efficiently, and collaborate within a team.

Responsibilities

• Lead the demonstration of consistency with the LSEG Data standard policies and procedures.
• Adapt quickly to new technologies, tools, and frameworks as needed for projects.
• Engage in continuous learning to stay updated with industry trends and standard processes.
• Develop and maintain web applications using React and Python.
• Write clean, maintainable, and efficient code.
• Optimize applications and code for speed and scalability.
• Solve and debug applications to improve performance.
• Participate in code reviews and contribute to teams' standard processes.
• Document data ownership and establish integrations with enterprise data repositories.