Data Quality Engineer

Roles and Responsibilities :

• Design, develop, and maintain data quality frameworks, policies, and procedures to ensure high-quality data across the organization.
• Collaborate with cross-functional teams to identify and resolve data quality issues through root cause analysis and remediation.
• Develop and implement data governance processes to ensure compliance with regulatory requirements and industry standards.
• Analyze complex technical problems using SQL queries to identify trends, patterns, and anomalies in large datasets.

Job Requirements :

• 5-8 years of experience in Data Quality Engineering or related field (Data Governance/Management).
• Strong understanding of AWS services such as S3 buckets, Lambda functions, Step Functions etc. .
• Proficiency in Python programming language for scripting tasks like data profiling, validation checks etc. .
• Experience with SQL querying languages for analyzing large datasets.