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
Solid 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