Data Quality Engineer (Remote)

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Written by AI from the job title and company, not by Patterson Dental, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Data Quality Engineer at Patterson Dental will play a crucial role in ensuring the integrity, accuracy, and reliability of data within our systems. This position is responsible for developing and implementing data quality measures, conducting assessments, and addressing data discrepancies. The role will involve collaboration with cross-functional teams to improve data processes and provide expertise in data governance initiatives, ultimately enhancing the quality of our services and products.

Job Responsibilities

• Design and implement data quality frameworks and metrics to monitor and assess the integrity of data.
• Identify and resolve data quality issues through root cause analysis and remediation strategies.
• Collaborate with IT and business units to establish data governance policies and best practices.
• Develop automated processes for data cleansing, validation, and enrichment.
• Conduct regular data quality assessments and provide actionable recommendations for improvements.
• Create and maintain documentation related to data standards, processes, and quality checks.
• Train team members on data quality principles and tools.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Minimum of 3 years of experience in data quality management or data analysis roles.
• Strong knowledge of data profiling, data governance, and data management methodologies.
• Proficiency in SQL and experience with data visualization tools.
• Excellent analytical and problem-solving skills, with attention to detail.
• Strong communication skills to effectively present findings to stakeholders.

Technologies & Tools

The Data Quality Engineer will utilize a variety of technologies and tools to ensure data quality and integrity. Key technologies include SQL databases for querying and analyzing data, data quality tools such as Talend or Informatica, and reporting tools like Tableau or Power BI. Familiarity with programming languages such as Python or R for data manipulation and analysis is also advantageous. The candidate will work within cloud-based environments, enhancing collaboration and data accessibility.

Ideal Candidates

Ideal candidates for the Data Quality Engineer position are detail-oriented individuals with a proactive approach to identifying and resolving data-related issues. They possess strong analytical skills and have a passion for maintaining high data standards. Successful candidates demonstrate effective communication and collaboration abilities, enabling them to work seamlessly with various teams across the organization. Additionally, they exhibit a commitment to continuous improvement and the capacity to adapt to evolving technologies and methodologies in the data landscape.