Job Description
Roles & Responsibilities
Utilize Python Notebooks, SSIS, Fabric Builds / Power BI, and other data engineering tools to cleanse and transform data.
Develop and implement data quality processes to monitor and improve the integrity of our data.
Collaborate with cross-functional teams to define data quality standards and best practices.
Optimize data cleansing pipelines for efficiency and scalability.
Desired Candidate Profile
Proven experience in data engineering, specifically in data cleansing and quality assurance.
Proficiency in Python Notebooks, SSIS, Fabric Builds / Power BI, and equivalent data engineering tools.
Strong understanding of data quality principles and best practices.
Excellent problem-solving skills and attention to detail.
Ability to work both independently and collaboratively in a fast-paced environment.