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Data Scientists SC- Data Cleansing & Quality DQ
Job Description & How to Apply Below
Responsibilities
- Utilize Python Notebooks, SSIS, Fabric Builds, Power BI, and other data engineering tools for data cleansing and quality tasks.
- Implement data cleaning processes to ensure accuracy and completeness of datasets.
- Collaborate with cross‑functional teams to identify data quality issues and recommend solutions.
- Develop and maintain data quality metrics and reports to track progress.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field.
- Proven experience with Python Notebooks, SSIS, Fabric Builds, Power BI, and equivalent data engineering tools.
- Strong understanding of data quality principles and best practices.
- Excellent analytical and problem‑solving skills.
- Ability to work independently and collaboratively in a team environment.
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