Job Description
Roles & 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.
Desired Candidate Profile
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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