Data Quality Engineer - Remote

Overview

This position is focused on ensuring the integrity and reliability of organizational data through the design, implementation, and maintenance of automated data quality checks.

In Short

• Design, develop, document, and maintain a robust data quality framework.
• Build repeatable and automated data quality checks to validate data across pipelines and repositories.
• Execute test plans and test cases, perform bug tracking, and share results with stakeholders.
• Troubleshoot, tune, and optimize data processes for improved performance and reliability.
• Work closely with cross-functional teams to gather requirements and communicate technical concepts.
• Assist with data quality support tickets and inquiries, ensuring timely resolution.
• Design dashboards and reports to analyze and communicate the outcomes of data quality tests.
• Continuously refine and improve data quality processes and tools.

Requirements

• Strong analytical and problem-solving skills.
• Experience with data quality tools and frameworks.
• Ability to work collaboratively in a team environment.
• Proficiency in programming languages relevant to data processing.
• Excellent communication skills.
• Experience in data engineering is a plus.

Benefits

• Opportunity to shape the organization’s data quality framework.
• Contribute to a culture of data-driven decision-making.
• Work in a collaborative environment with cross-functional teams.
• Access to ongoing professional development and training.
• Flexible work arrangements.