Data Quality Engineer

• As a Data Quality Engineer, you will play a crucial role in ensuring the integrity, accuracy, and reliability of our organization''s data assets. Your responsibilities will include designing and implementing data quality processes, collaborating with cross-functional teams, and leveraging cloud platforms to optimize data quality and integration.
• Collaborate with data owners and stakeholders to define and enforce data quality standards.
• Develop and implement data cleansing strategies to address identified data quality issues.
• Utilize data profiling tools and techniques to analyze data patterns and identify potential quality issues.
• Work on optimizing data architectures for improved data quality and performance.
• Utilize cloud platforms like Azure, AWS or GCP to deploy and manage data quality solutions.
• Leverage cloud services for scalable storage, processing, and analysis of large datasets.
• Document data quality issues, root causes, and remediation steps.
• Generate regular reports on data quality metrics and communicate findings to relevant stakeholders.
• Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data quality requirements and implement effective solutions.

Qualifications:

• Bachelor''s or Master''s degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Quality Engineer or in a similar role.
• Strong knowledge of data engineering principles and best practices.
• Hands-on experience with cloud platforms, especially Azure.
• Familiarity with AI concepts and tools is preferred.
• Proficiency in programming languages such as Python, SQL, or Java.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skill.