Related skills
etl sql python pandas pyspark📋 Description
- Supports modeling team by gathering data from diverse sources.
- Cleans, transforms, and analyzes data for modeling inputs.
- Designs and implements ETL pipelines to streamline data workflows.
🎯 Requirements
- 4-5+ years of Data Analyst experience.
- Strong SQL and Python (Pandas, NumPy, SciPy, PySpark).
- Data wrangling, ETL, and statistics fundamentals.
- Experience with large databases.
- Banking/financial domain knowledge is a plus.
🎁 Benefits
- Flexible B2B contract-based collaboration.
- Opportunity to work on diverse projects.
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