Data QA Analyst I

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)
● Strong analytical mindset, attention to detail, and ability to troubleshoot complex data issues.
● Good to have understanding of DSP or AdTech data models