You will be part of the Data Consumer Assurance function within the Data Management organization, supporting the monitoring, validation, and assurance of Experian's AWS-based data assets. You'll help ensure that our data meets for quality, completeness, and compliance — while working in a modern, cloud-native environment.
This role is ideal for a data professional with 1–3 years of experience who has a solid technical foundation in data analysis and is eager to deepen their expertise in AWS data tools and automation frameworks.
Important Responsibilities
- Monitor and evaluate AWS-hosted data assets to ensure quality, consistency, and completeness across platforms.
- Develop and automate data quality checks, validation routines, and anomaly detection processes using AWS Glue, Lambda, and SQL.
- Develop interactive dashboards and reports in Amazon QuickSight to surface important data quality metrics and operational insights.
- Perform exploratory data analysis and data profiling to identify patterns, inconsistencies, and causes of data issues.
- Partner with data engineering, compliance, and product teams to support governance processes and assist with remediation activities.
- Document monitoring procedures, automation scripts, and validation results for audit and traceability purposes.
- Participate in optimizing data workflows and identifying opportunities for automation within AWS-based pipelines (e.g., S3, Glue Jobs, Step Functions).
- Contribute to the enhancement of data quality frameworks, documentation, and Service level agreement monitoring processes.