Dear Candidate,

Please review the Job Description (JD) below and apply if it matches your skills and experience.

Role & responsibilities
5+ years of experience in Data Quality Engineering, Analytics Testing, or Data driven transformation programs.
3+ years leading AI Data Assurance, AI/GenAI, Analytics, or AI Quality Engineering initiatives
Solid knowledge of AI/ML, GenAI, LLMs, various RAG Architectures, Prompt Engineering, Vector Databases, DataOps/MLOps, and AI Governance.
Robust expertise in ETL Testing, Analytics & BI Testing, Reporting Validation, AI Data Readiness Assurance, AI Data Harness Assurance, AI Data Outcome Assurance and Continuous AI Assurance
Hands-on Experience with Cloud Data & AI Platforms such as Azure, AWS, GCP, Databricks, Snowflake, Microsoft Fabric, or similar.

Solid leadership,



stakeholder management, communication, and mentoring skills

Preferred candidate profile
Agile Delivery, Quality Governance
AI Data Assurance, AI/ML, GenAI, LLMs & RAG Architectures
Data Quality, Data Governance & Responsible AI
ETL, Data Warehouse, Analytics, BI & Data Integration Testing
SQL, Snowflake, Databricks, Informatica & Azure Data Factory (ADF)
Prompt Engineering & Retrieval Assurance
Python, PySpark & Test Automation
Playwright, API Testing
Vector Databases, AI Data Pipelines, DataOps & MLOps
Azure, AWS & GCP Data & AI Platforms
Jira, Zephyr, Azure DevOps & CI/CD

📌 Data Testing Cloud Consultant Chennai
🏢 Infosys
📍 Chennai