Data Quality Engineer - Remote

Overview

This role offers an exciting opportunity to design and implement automated data quality processes that directly impact internal operations and external customer experiences.

In Short

• Design, develop, document, and maintain a scalable data quality framework across data assets.
• Build automated and repeatable data quality checks to ensure accuracy and consistency.
• Validate data across pipelines and repositories against source systems.
• Collaborate with Data Engineering and other teams to gather requirements and align on test cases.
• Write and execute detailed test plans and document results for both technical and business audiences.
• Troubleshoot issues, perform root cause analysis, and fine-tune performance where necessary.
• Support ongoing data quality requests, tickets, and audits from stakeholders.
• Develop dashboards and reports to clearly communicate test results and data health metrics.

Requirements

• Experience in data quality engineering or a related field.
• Strong understanding of data validation techniques.
• Proficiency in automation tools and frameworks.
• Excellent communication skills for technical and non-technical audiences.
• Problem-solving skills and attention to detail.

Benefits

• Opportunity to work on impactful projects.
• Collaborative work environment.
• Professional development opportunities.