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Quality Engineer (Data & AI) | Contract | Hyderabad

  • Source: Naukri
  • Side
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

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.
  • Python, 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.

Skills

  • Pytest
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • Python

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