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Strong employer brand plus mid-level generalist data role moderately increases competition.
Data quality, SQL and ETL skills are widely transferable across industries.
Explicit 5+ years requirement and mandatory Azure and data-quality tooling create strict filters.
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Own data quality assurance by building and maintaining validation rules and test cases across multiple data dimensions such as accuracy, completeness, consistency, and timeliness.
Conduct data quality checks throughout the data lifecycle stages including unit testing, integration testing, and user acceptance testing, as well as perform data profiling to detect anomalies.
Collaborate with cross-functional teams including Business, Technology, Operations, and Data & Analytics capabilities to create and maintain data quality artifacts.
5-8+ years of relevant experience in data quality or related analytics roles.
Bachelor's degree in Computer Science, Data Analytics, Information Technology, or equivalent.
Proficiency in SQL and Azure Data Services (e.g., Data Factory, Synapse).
Experience with data quality testing tools such as Atacamma, IDQ, ETL tools like Tosca, and familiarity with data profiling, cleansing, and anomaly detection techniques.
Demonstrated experience working independently as an individual contributor managing data quality processes in production-grade data and analytics environments.
Skilled in collaborating across multiple stakeholders including Business, Technology, and Data & Analytics teams, indicating strong partner and stakeholder engagement.
Familiarity with large data environments including Datamart, Data Lake, and Data Warehouse on both On-Prem and Cloud platforms.