We are seeking a hands on QA Lead to drive quality assurance for a scalable, enterprise-wide data platform for an insurance client. The role involves validating batch and real-time data pipelines, ensuring data accuracy across Raw, Silver, and Gold layers, and supporting report rationalization and self-service analytics (Power BI).
The QA Lead will define and implement end-to-end data testing strategies, covering ingestion (AWS Glue, Kinesis), transformation (DBT), and consumption layers, while ensuring data quality, integrity, and performance optimization.
Key Responsibilities
QA Strategy & Leadership
Define and implement end-to-end QA strategy for the enterprise data platform
Establish test frameworks, standards, and governance for data validation
Lead QA planning, estimation, and execution across multiple data streams
Data Validation & Testing
Validate data across Raw, Silver, and Gold layers ensuring accuracy, completeness, and consistency
Perform source-to-target reconciliation for batch and real-time pipelines
- Design and execute:
Data quality checks
Transformation validation (DBT models)
Aggregation and KPI validation
Batch & Real-Time Pipeline Testing
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