The team will design and execute test strategies to verify data quality across ingestion, transformation, and data delivery layers.

Key Responsibilities :

- Define and implement the overall QA strategy for data ingestion and data platform initiatives.

- Lead a team of QA engineers responsible for validating ETL pipelines and data transformations.

- Design test plans, test cases, and data validation frameworks.

- Collaborate with Data Engineers, Business Analysts, and product teams to understand data requirements.

- Establish automated testing frameworks for data validation and pipeline monitoring.

- Ensure data quality, completeness, and consistency across systems.

- Track defects, manage testing cycles, and report quality metrics to stakeholders.

- Support release validation and production deployment readiness.

Required Qualifications :

- 6+ years of experience in QA or data testing.

- Experience testing ETL processes and data pipelines.

- Strong knowledge of SQL and database validation techniques.

- Experience with data warehouse platforms and large datasets.

- Experience leading QA teams in Agile environments.

Preferred Qualifications :

- Experience with automation tools for data testing.

- Knowledge of Databricks or big data platforms.

- Experience with cloud-based data platforms.