Job Description: Senior Data Quality Engineer (Ataccama)

As a Senior Data Quality Engineer at Ataccama, you will take charge of designing and implementing data quality solutions, collaborating with data management teams to ensure accuracy and consistency. Your role will involve developing data quality workflows, scorecards, and dashboards, while utilizing the Ataccama ONE platform to manage data from various sources.

In your role at Ataccama, you'll be responsible for executing data quality jobs, managing metadata, and implementing data governance best practices. You’ll also create monitoring mechanisms to track data quality metrics, ensuring that our systems maintain the integrity and reliability of data across the organization.

To thrive as a Senior Data Quality Engineer at Ataccama, candidates should have proven experience in data quality management, along with proficiency in SQL and the Ataccama ONE platform. A background in data governance, cloud data platforms, and data privacy regulations is also preferred to excel in this position.

At Ataccama, you can anticipate a fully remote work environment that fosters collaboration and professional growth. You'll work with dynamic teams that are dedicated to data excellence, allowing you to contribute meaningfully to the company's innovative solutions.

Absolutely! At Ataccama, we are committed to the professional development of our employees. As a Senior Data Quality Engineer, you will have access to resources and support aimed at advancing your career, providing opportunities for promotions and skill enhancement.

In your role at Ataccama, you'll work extensively with the Ataccama ONE platform, SQL, and various data integration technologies. Additionally, familiarity with big data technologies and cloud data platforms will enhance your impact in this position.

Ataccama stands out for its commitment to innovation in data management and the professional growth of its employees. As a Senior Data Quality Engineer, you'll join a team that values collaboration and creativity, allowing you to thrive in an environment that encourages both personal and professional development.

In answering this question, focus on your hands-on experience with Ataccama tools, detailing specific projects you've worked on. Highlight your successes in implementing data quality solutions and how you've solved complex data issues using Ataccama.

Discuss your methodology for designing workflows, emphasizing your ability to collaborate with teams to understand their needs. Share examples of how you have developed workflows that improved data reliability or efficiency in past roles.

Explain the data governance frameworks you have implemented or worked with. Showcase your understanding of compliance and best practices that ensure data accuracy and security within an organization.

Outline a systematic approach to identifying and resolving data quality issues. Include examples of how you have used analytical thinking to troubleshoot and rectify discrepancies effectively.

Share a detailed account of a specific project, discussing the challenges faced, the integration technologies used, and the impact it had on the organization. Ensure to detail your role in leading or facilitating this project.

Emphasize the importance of metrics in monitoring data quality performance. Describe how you have developed or utilized dashboards for tracking these metrics and the subsequent actions taken based on your findings.

Discuss your strategies for staying current, whether through continuous education, attending seminars or conferences, or participating in relevant professional organizations. Mention any specific resources or communities you find valuable.

Be prepared to share real-life examples of challenges you've faced, emphasizing your problem-solving skills. Highlight how you utilized your technical skills and collaboration to devise effective solutions.

Illustrate how you've successfully collaborated with diverse teams, emphasizing communication and relationship-building skills. Share examples where you acted as a bridge between technical and non-technical stakeholders.

Articulate your views on the key traits of a successful Data Quality Engineer, such as analytical skills, attention to detail, effective communication, and an innovative mindset. Provide examples from your background that demonstrate these qualities.