
Lewis Glanz Consulting
Work Arrangement: Hybrid – (3x in office, 2x wfh)
Shift timings: 12 Noon to 9 PM (may need to stretch for client call once a week)
Important must have skills:
• 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:
o Data Storage
o Data Cleaning
o Data Management
o 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)