Overview
Exelon has been conducting additional vegetation management programs (Blue-Sky) to address reliability issues on some key circuits. It is believed these measures will improve service reliability.
To accurately measure the effectiveness of Blue-Sky (Enhanced Veg) trimming, Kforce will provide a managed team of technical and industry SMEs to assemble data before and after vegetation work. Precise locations where vegetation trimming took place will be determined via spatial analysis. Events relative to these locations will subsequently be examined for impact.
Qualifications
Here's what we'll be looking for you to bring:
Expertise with Python development, testing, and deployment
Ability to devise a systematic approach for enhancing existing processes to meet project goals with minimal oversight
Implement data matching algorithms in Python
Conduct data profiling to assess quality and identify anomalies
Design and execute data cleansing processes to correct errors
Build reconciliation processes to ensure data consistency across sources
Document all data engineering processes, including cleansing methodologies
Interpersonal skills to build and maintain strong working relationships
Requirements
5-8 years of professional experience as a Python Engineer
Expertise with standard Python libraries
Must be familiar with the following Python libraries: pandas, GeoPandas, NumPy
Understanding of PEP8 (Python) style guidelines preferred
Experience in data matching, profiling, reconciliation, and cleansing
SQL skills for querying data
Nice to have: utilities industry experience
BS degree in Computer Science, Engineering, Information Systems, or equivalent work exp
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.