Rekruton Technologies

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&nbsp;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