Data Engineer

Qualifications:
• 2-5 Years of experience in working with and creating data architectures, and in dealing with both structured and unstructured datasets, including but not limited to:
- Data Storage
- Data Cleaning
- Data Management
- Data Analysis
• Must be well versed with Python (must know use of classes)
• Library - Pandas & NumPy
• Familiarity with Gits
• Experience in migrating from older Python Versions to newer version (Highly preferred)

Setup: Hybrid 3x Onsite, 2x WFH
Schedule: 12NN to 9PM (may need to stretch for client call once a week)