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Role Details Contract Period - 1 month (please apply IFF you agree to this nature of employment Location - Hyderabad 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 Technical experience of upto 5 years 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. P ython, PyTest, API testing, and test automation frameworks. Familiarity with cloud platforms (AWS/Azure/GCP) and observability tools. Strong analytical and problem-solving skills. Mandatory Skills Automation Testing Python ETL Testing AI / AI Application Testing Ideal Candidate A quality-focused engineer with experience across Data Engineering, Analytics, and AI systems , capable of building scalable testing and automation frameworks that ensure our platform delivers trusted, high-quality insights and recommendations.
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