Data Quality Engineer / Data Reliability Engineer (AWS)

Job Summary:

We are looking for an experienced Data Quality Engineer to ensure the reliability, accuracy, and consistency of enterprise data across cloud-based data platforms. The ideal candidate will have hands-on experience in AWS data services, data profiling, validation frameworks, monitoring, and governance. You will be responsible for implementing data quality rules, building proactive monitoring solutions, and resolving data issues to improve business reporting and AI-driven analytics.

Key Responsibilities:

• Design, implement, and maintain enterprise-wide Data Quality frameworks and validation rules.
• Perform data profiling, data validation, and data reconciliation across multiple data sources.
• Develop and maintain automated data validation frameworks to ensure data accuracy and completeness.
• Build monitoring and alerting solutions using Amazon CloudWatch, Amazon SNS, and AWS Lambda.
• Utilize AWS Glue DataBrew for data profiling, cleansing, transformation, and quality assessment.
• Perform root cause analysis for data quality issues and coordinate with engineering teams to resolve defects.
• Implement proactive monitoring to detect anomalies in data pipelines and datasets.
• Collaborate with Data Engineers, Data Analysts, Product Owners, and Business teams to define data quality requirements.

Mandatory Skills:

• Strong experience in Data Profiling
• Experience building Data Validation Frameworks
• Hands-on experience with AWS Glue DataBrew
• Strong knowledge of Data Quality concepts and implementation
• Experience with Amazon CloudWatch
• Experience with Amazon SNS
• Experience with AWS Lambda
• Strong SQL skills for data validation and analysis
• Experience troubleshooting and resolving data quality issues
• Excellent analytical and problem-solving skills