About the role
Key Responsibilities
- Validate batch and real-time data pipelines, ETL processes, and data quality.
- Perform source-to-target reconciliation and verify KPI, analytics, and reporting accuracy.
- Test AI-generated insights, recommendations, and decision-making workflows.
- Validate LLM, RAG, and recommendation systems for accuracy, relevance, and consistency.
- Design and maintain automated test frameworks for Data and AI platforms.
- Develop regression suites for data pipelines, AI models, prompts, and workflows.
- Conduct API, integration, performance, and reliability testing.
- Establish data quality monitoring and automated validation mechanisms.
Required Skills
- Strong SQL and data validation expertise.
- Experience testing ETL pipelines, data warehouses, and analytics platforms.
- Knowledge of AI/ML testing, LLM evaluation, RAG validation, and recommendation systems.
- Python, PyTest, API testing, and test automation frameworks.
- Familiarity with cloud platforms (AWS/Azure/GCP) and observability tools.
- Strong analytical and problem-solving skills.
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