Python Developer

the Client•Fort Mill, SC

16h•Hybrid

About The Position

The Python Developer will develop and help maintain an AWS-hosted web application, using React on the front end and Python on the back end. The role collaborates with data modelers, analysts, business users, and product teams to support ongoing development. The position is a 12-month contract based onsite in Fort Mill, South Carolina, with a hybrid arrangement of three days in the office.

Requirements

At least 5 years of experience in an enterprise environment.
Solid understanding of object-oriented programming principles.
Experience with common data-manipulation libraries and tools, including pandas, NumPy, datetime, and regular expressions.
At least 2 years of front-end development experience with React, JavaScript, HTML, and CSS.
At least 1 year of experience with SQL Server, writing basic queries, and implementing stored procedures.
Knowledge of version control systems such as Git; the team uses Bitbucket and GitLab.
Experience creating documentation with systems such as Confluence and using bug-tracking software such as Jira.
Proficiency with testing frameworks such as UnitTest, Pytest, and Jest.
Ability to work inclusively, communicate effectively, and collaborate within a team.
Applicants must be authorized to work for any U.S. employer; visa sponsorship or transfer is not available.

Nice To Haves

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

Responsibilities

Demonstrate consistency with LSEG Data standard policies and procedures.
Adapt to new technologies, tools, and frameworks as needed for projects, and stay current with industry trends and standard processes through continuous learning.
Develop and maintain web applications using React and Python.
Write clean, maintainable, and efficient code.
Optimize applications and code for speed and scalability.
Debug applications and resolve issues to improve performance.
Participate in code reviews and contribute to team standard processes.
Document data ownership and establish integrations with enterprise data repositories.
Collaborate with data modelers, analysts, business users, and product teams.