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.

- Solid analytical and problem-solving skills.

📌 Quality Engineer (Data & AI)_Contract For 1 month (Hyderabad)
🏢 SIDE
📍 Hyderabad