Data Scientists (SC3)- Data Cleansing & Quality (DQ)

Key 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.