Data Engineer - Python

Key Objectives/Responsibilities:
Extract data from large, complex, many-nested XML structures from a variety of sources using Python to write data to Snowflake tables
Write concise Python code to automate processes to the fullest degree possible, reducing the need for manual intervention in processes
Revise and optimize existing python code to expand functionality and increase efficiency
Serve as Python SME for the data team, recommending and demonstrating beneficial, practical uses for python in a cloud data environment (creating monitoring, reports, dashboards, helper applications, etc.)
Troubleshoot code and processes with a high level of skill to quickly and methodically resolve issues
Take the initiative to find creative solutions to problems, pull together resources to resolve blockers, and keep work moving in any way possible when bottlenecks occur
Work effectively with teammates to meet deadlines as efficiently as possible

Qualifications/Skills
Python coding experience 2 to 5 years
Experience using data-focused python libraries such as Pandas, NumPy, Matplotlib, etc.
Experience working with XML files and data structures 1 to 2 years
Familiarity with ELT/ETL process flows and data zones
Experience with Snowflake 0 to 2 years, good to have
Experience with Azure 0 to 2 years, good to have
Experience with SSIS 0 to 2 years, good to have
Insurance industry knowledge is a plus
Excellent communication skills with the ability to communicate effectively to all organizational levels
Ability to work as part of a fast-moving team.