TELECOMMUTE Data Quality Engineer

· Design and implement automated data quality checks, validation rules, and monitoring frameworks.

· Validate data accuracy, completeness, consistency, freshness, and integrity across ETL/ELT pipelines.

· Perform data profiling, anomaly detection, reconciliation, duplicate analysis, and business-rule validation.

· Validate source-to-target mappings, crosswalk/reference data, and migration/integration processes.

· Perform root cause analysis and collaborate with data engineering and business teams to resolve data defects.

· Build data quality dashboards, reports, and automated controls.

· Support data governance, audit, regulatory requirements, and quality sign-offs.

· Strong experience in Data Quality Engineering / Data Validation.

· Advanced SQL skills and hands-on Snowflake experience, including tables, views, profiling, and query optimization.

· Experience with ETL/ELT pipelines and data warehouses.

· Strong understanding of data quality frameworks, reconciliation, unit/integration testing, metadata, and data lineage.

· Experience working with large and complex datasets.