Lead Data Quality Assurance (QA) Engineer
Summary
Lead validation of finance data pipelines and reporting systems, ensuring accuracy and compliance through ETL testing, SQL, and BI validation.
Responsibilities
- Lead end-to-end validation of complex finance data pipelines and reporting solutions.
- Ensure data integrity, accuracy, and completeness across ETL workflows, data warehouses and regulatory financial reporting systems.
- Own test strategy, planning and execution for ETL, data quality and finance reporting deliverables.
- Validate data transformations, aggregations, reconciliations and reporting accuracy across multiple source systems.
- Define and implement test automation frameworks for data validation and regression testing.
- Collaborate with data engineering, BI, finance and business stakeholders to clarify requirements and resolve issues.
- Lead defect triage, root‑cause analysis and continuous quality improvement.
- Govern quality metrics, reporting and controls for financial reporting compliance.
Qualifications
- 10+ years in data/ETL testing with finance domain experience (P&L, GL, regulatory reporting).
- Strong SQL, data profiling, and BI report validation expertise.
- Working knowledge of data warehousing, ETL tools, cloud data platforms.
- Proven leadership in large, complex data programs with cross‑functional teams.
- Must‑have skills: ETL testing, finance domain expertise, SQL, data profiling, BI report validation.