Key Responsibilities

• Design, develop, and execute data validation for large-scale data pipelines
• Collaborate with data teams to understand data flow and transformations
• Schema validation (types, nullability, constraints)
• Anomaly/outlier detection (statistical thresholds, freshness checks)
• Regression testing on transformation logic after schema/pipeline changes
• Contribute to AI-assisted QA initiatives

Skills

• 1-2 years of experience in Data QA.
• Strong hands-on expertise in SQL (tools to mention).Working knowledge of Cloud Systems (AWS, GCP etc).
• Working knowledge of Python for scripting, data manipulation, and automation integration
• Experience with orchestration or logging tools (like Airflow, Dagster, Cloudwatch etc.) enough to trace failures
• Exposure of AI Tools
• Familiarity with CI/CD tools (Jenkins, GitHub)
• Robust analytical mindset, attention to detail, and ability to troubleshoot complex data issues.
• Good to have understanding of DSP or AdTech data models

Skills: qa,gcp,python,github,api testing,ai tools,airflow,sql,aws,cloudwatch,jenkins

📌 QA Analyst I (Ahmedabad)
🏢 Rekruton Global IT Services
📍 Ahmedabad