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 critical role in ensuring the integrity, accuracy, and reliability of data by implementing and maintaining quality control processes throughout the data lifecycle. This position involves developing and executing automated data validation scripts, identifying data anomalies, and collaborating with cross-functional teams to enhance data quality strategic initiatives. The ideal candidate will possess a meticulous attention to detail and a robust understanding of data management practices, making a significant contribution to our data governance efforts.

Job Responsibilities

• Develop and maintain data quality frameworks and strategies that adhere to best practices.
• Design and implement automated data validation processes to ensure data integrity.
• Conduct data profiling, analysis, and cleansing activities to identify data quality issues.
• Collaborate with data integration teams to refine data matching and merging techniques.
• Create documentation for data quality processes, procedures, and standards.
• Provide regular reporting on data quality metrics and insights to stakeholders.
• Participate in cross-functional teams tasked with data quality improvement initiatives.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or a related field.
• Minimum of 3 years of experience in data quality assurance or data engineering roles.
• Strong proficiency in SQL and experience with data manipulation languages.
• Familiarity with data quality tools and frameworks, such as Talend, Informatica, or similar.
• Experience in programming languages such as Python or Java for data validation scripting.
• Excellent analytical skills with a keen attention to detail.
• Strong verbal and written communication skills to convey technical concepts to non-technical stakeholders.

Technologies & Tools

The Data Quality Engineer position at Patterson Dental utilizes a variety of technologies and tools to ensure effective data governance and quality control. Key tools include SQL for data querying, data profiling solutions like Talend or Informatica for data quality assessment, and programming languages such as Python for developing automated testing scripts. Familiarity with cloud data platforms and data visualization tools may also be beneficial in this role.

Ideal Candidates

Ideal candidates for the Data Quality Engineer position will demonstrate a strong commitment to data integrity and quality. They should possess a proactive mindset, enabling them to identify potential issues before they arise and suggest innovative solutions. Strong problem-solving skills and the ability to work effectively within a team environment are crucial, as well as a passion for continuous improvement in data practices. Candidates who exhibit excellent organizational skills and can manage multiple projects simultaneously will thrive in this dynamic and fast-paced setting.