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 be responsible for ensuring the integrity, accuracy, and reliability of data through rigorous testing and validation processes. This role requires a skilled professional who is proficient in data quality practices and capable of developing and implementing strategies that enhance data governance. The ideal candidate will contribute to the establishment of data quality metrics, identify areas for improvement, and collaborate with cross-functional teams to address data-related challenges in order to support informed decision-making across the organization.

Job Responsibilities

• Develop and implement data quality standards and procedures to ensure comprehensive monitoring of data integrity.
• Create, execute, and maintain effective testing strategies to validate data processes and outputs.
• Identify data quality issues and collaborate with stakeholders to resolve them in a timely manner.
• Establish key performance indicators (KPIs) to measure data quality improvements over time.
• Work closely with data engineers and analysts to streamline data flows and enhance data collection methods.
• Conduct root cause analysis for data discrepancies and provide actionable recommendations for improvement.
• Document data quality findings and communicate results effectively to technical and non-technical stakeholders.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Quality Engineer or in a similar role focused on data governance and quality assurance.
• Strong knowledge of data management and data quality concepts and methodologies.
• Proficiency in SQL and experience with data manipulation and reporting tools.
• Familiarity with programming languages such as Python or R for data processing is advantageous.
• Excellent analytical and problem-solving skills with a keen attention to detail.
• Strong verbal and written communication skills for effective collaboration across teams.

Technologies & Tools

The Data Quality Engineer will work with a range of technologies and tools, including data management systems such as SQL Server and Oracle, data visualization tools like Tableau or Power BI, and programming languages for data processing such as Python or R. Familiarity with ETL tools and data warehouse concepts will also be beneficial as the role involves improving data acquisition processes and ensuring the quality of the data being ingested into the systems.

Ideal Candidates

Ideal candidates for the Data Quality Engineer position will possess a proactive approach to data management and an unwavering commitment to excellence in data quality assurance. They should demonstrate a strong ability to work independently while also thriving in collaborative team environments. A passion for maintaining high standards and a solution-oriented mindset are essential, as well as the capability to adapt to a rapidly evolving technological landscape. Moreover, individuals who can effectively translate complex data concepts into understandable language for diverse stakeholders will excel in this role.