Data Quality Engineer (Remote)

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

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.

Patterson Dental is seeking a qualified Data Quality Engineer to join our remote team. The successful candidate will be responsible for ensuring the integrity, quality, and accuracy of data across our platforms. This role involves developing data quality processes, performing detailed data analysis, and collaborating with cross-functional teams to implement data management best practices. As a key player in our data governance efforts, the Data Quality Engineer will work on identifying data issues and implementing solutions to enhance overall data quality.

Job Responsibilities

• Design and implement data quality frameworks to monitor and ensure the accuracy of data in various systems.
• Conduct data profiling, analysis, and validation to identify discrepancies and propose solutions.
• Create automated tests and monitoring processes to continuously assess data quality.
• Work closely with data management teams to establish and enforce data standards and governance policies.
• Document data quality issues and track progress of remediation efforts.
• Participate in cross-functional meetings to convey data quality findings and recommend improvements.
• Support stakeholder analysis by providing insights from data quality assessments.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in data quality assurance or related roles.
• Strong understanding of data governance principles and practices.
• Experience with data quality tools such as Informatica, Talend, or similar.
• Proficiency in SQL for data analysis and querying.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills with the ability to work collaboratively.

Technologies & Tools

The Data Quality Engineer will utilize various technologies and tools, including data profiling software such as Informatica, SQL databases for data analysis, and data visualization tools for reporting. Proficiency in version control systems and cloud-based data solutions will also be essential for successful collaboration within the team. Familiarity with programming languages such as Python or R for data manipulation and automation is a plus.

Ideal Candidates

The ideal candidate for this position will exhibit a strong analytical mindset and possess a keen attention to detail. A proactive approach in identifying data issues, coupled with a collaborative spirit and effective communication skills, is essential. Candidates should demonstrate adaptability to new technologies and have a passion for data integrity and management. Strong organizational skills and the ability to prioritize tasks within a dynamic, remote work environment will significantly contribute to success in this role.