We are looking for a Senior Data Quality Engineer who will ensure data accuracy throughout the entire lifecycle, from backend ETL pipelines to frontend visualization. This position requires a hybrid approach, combining thorough manual data reconciliation with the implementation of automated testing frameworks for enterprise data platforms. The role involves verifying that BI dashboard numbers match the source data and ensuring accuracy, completeness and consistency of data as it moves through pipelines. The ideal candidate will possess a strong understanding of data architecture, manual exploratory testing and automated validation at scale, along with the business acumen to confirm that data aligns with strategic KPIs and operational needs.
Responsibilities
Design and execute automated test plans for ETL/ELT pipelines to verify data transformations and schema integrity
Perform source-to-target mapping and reconciliation checks across data lakes, warehouses and reporting lay...