Posted 3 months ago
MUST HAVE
- Bachelor’s degree in information technology, Computer Science, Statistics, Engineering, Mathematics, Economics, Business Analytics, Data Science, Accounting or related field is required.
- Minimum 7+ years of previous work experience with managing large datasets and programming.
- 7 years’ experience in full SDLC methodologies and implementation methods.
- Experience working with Python, specifically Pandas, ORM, sqlalchemy, OS, logging, urllib, Numpy, and Matplotlib packages.
- Experience in Design, Develop, and Implement processes that intake multiple file types (Excel, Text, JSON, HTML, etc.) through ETL processes to store in existing SQL Server instances.
- Experience working with data analytic tools, specifically PowerBI and Tableau; Other tool exposure and experience is a plus.
- Experience working with Microsoft Excel tools, including Macros, Pivot Tables, and formulas (such as VLOOKUP and SUMIF); Power Pivot and Power Query is a plus.
- Experience with SQL-based data manipulation; This role will work with an array of disparate data sources so experience writing efficient, performance-optimized queries is required and Microsoft SQL Server experience is necessary.
- Experience within IDEs; Visual Studio Code experience is a must.