Senior Data Quality Engineer

Job Summary

To join a cross-functional development team, the full-time Senior Data Quality Engineer will manage data pipeline testing, validate data warehouses, and automate data quality checks in a remote work environment.

Key responsibilities

• Conduct data pipeline and ETL-ELT testing, ensuring validation of ingestion, transformation, and load processes
• Validate data warehouses and lakehouses for schema, accuracy, and integrity while performing source-to-target reconciliation
• Implement automated data quality checks and validate BI dashboards against certified data sources

Required qualifications

• Hands-on experience testing data pipelines and data warehouse/lakehouse loads
• Advanced SQL proficiency, including complex joins and aggregate reconciliation queries
• Experience with modern data platforms such as Snowflake or BigQuery and orchestration tools like dbt or Airflow
• Experience in building automated data quality checks integrated into pipelines or CI/CD
• Familiarity with retail data domains, including sales and inventory data