Key Responsibilities   Strategy & Planning: Design comprehensive testing strategies, test plans, and test cases tailored for complex data ecosystems and ETL architectures.

Data Validation: Validate end-to-end data accuracy from source systems to target databases, data warehouses, and visualization layers.

BI Testing: Oversee the validation of analytics, metrics, and KPI visualizations in BI tools like Power BI, Tableau, or Looker.

Automation: Lead the development and maintenance of automated testing frameworks for API validations, data consistency checks, and ETL workflows (e.g., using Python, Playwright, or Selenium).

Team Leadership: Mentor, manage, and coach junior QA engineers and SDETs, defining performance metrics and evaluating release readiness.

Defect Management: Act as the primary escalation point for data anomalies, logic defects, and system integration issues, ensuring resolution prior to production.

Collaboration: Partner ...