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.
- Solid 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

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

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