Role: IT & Information Security - Other
Industry Type: IT Services & Consulting
Department: IT & Information Security
Employment Type: Full-Time
Role Category: IT & Information Security - Other
UG: Any Graduate
Hiring: Senior QA (Data+ AI Testing) Please share your resume: [email protected] Contact: 6385277740 Notice: Immediate to 15 Days Location: Bangalore (Work from Customer Office Mandatory) Experience: 5-8 Years Employment Type: Full-Time Role Summary: We are looking for a Senior QA Analyst (Data + AI Testing) with strong expertise in ETL Testing, Data Validation, Python Automation, SQL, and AI Testing. The ideal candidate should have hands-on experience in validating data pipelines, automating testing processes, and leveraging AI tools such as Cursor, GitHub Copilot, LLMs, and Prompt Engineering to improve testing efficiency and quality. The candidate should be comfortable working across application, database, automation, and AI layers while ensuring data accuracy, system reliability, and automation scalability.
Key Responsibilities
Understand business requirements, system architecture, and data flows. Design and execute test strategies for applications, data pipelines, and ETL processes. Perform functional, regression, integration, backend, and data validation testing. Validate large datasets using SQL and Snowflake queries. Perform ETL testing including: Source-to-target validation Transformation logic validation Data reconciliation Data quality checks Build and maintain Python-based automation frameworks and scripts. Develop AI-assisted testing solutions using: GitHub Copilot Cursor LLM-based tools Prompt Engineering techniques Automate data quality validation, anomaly detection, and reporting processes. Analyze data discrepancies and perform Root Cause Analysis (RCA). Collaborate with developers, data engineers, and business teams to resolve defects. Maintain test documentation, validation reports, SQL scripts, automation assets, and AI workflows. Mandatory Skills Data & ETL Testing Minimum 5+ years of experience in QA/Data Testing. Strong experience in ETL/ELT Testing and Data Validation. Experience in Source-to-Target Testing and Data Reconciliation. SQL & Snowflake Strong SQL expertise: Joins CTEs Window Functions Complex queries Query Optimization Hands-on experience with Snowflake or Data Warehouse platforms. Python Automation Strong Python programming experience for: Automation Data Validation Data Quality Checks Framework Development AI Testing (Mandatory) Minimum 6 months+ of hands-on experience in AI Testing. Experience with: Cursor GitHub Copilot Prompt Engineering LLM Testing Generative AI Validation Ability to validate AI-generated outputs for: Accuracy Consistency Hallucinations Response Quality Test Automation Experience with: PyTest Robot Framework Similar Automation Frameworks Good to Have CI/CD integration experience. Experience with Databricks, Hadoop, or Big Data technologies. Cloud platforms: Azure AWS Knowledge of LLM-based automation frameworks. Experience in AI-assisted QA processes.
Education
al Qualification Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field.