Data Quality & Test Engineer in Gurgaon, भारत

Role : Data Quality & Test EngineerExperience: 5 - 8 YearsLocation: Hybrid / RemoteEmployment: Full-timeRole & Responsibilities:- Perform data validation and quality testing for data pipelines, ETL/ELT, ML workflows, and cloud infrastructure.- Validate raw, curated, and summarized data layers, including schemas, mappings, transformations, and business rules.- Perform end-to-end source-to-target reconciliation.- Develop and execute unit, integration, regression, data quality, and automation tests for AWS Glue, Lambda, Step Functions, and APIs.- Validate CI/CD deployments and releases.- Monitor logs, CloudWatch metrics, dashboards, and alerts.- Validate IAM, RBAC, data access controls, and security configurations.- Document test results, defects, quality metrics, and testing https://jobeax.com/link/ZXZIATo0nObCyFu7 Skills:- 5 - 8 years of experience in Data Testing, ETL Testing, Data Quality, or QA Automation.- Strong experience with Data Warehouse, Data Lake, or modern data platforms.- Hands-on experience with AWS Glue, Lambda, Step Functions, S3, CloudWatch, and IAM.- Strong SQL skills for complex data validation and reconciliation.- Experience with Python and test automation, preferably PyTest.- Experience with REST API testing and event-driven architectures.- Experience with CI/CD tools such as Azure DevOps, GitHub Actions, Jenkins, or GitLab CI/CD.- Knowledge of unit, integration, regression, UAT, defect management, and data quality testing.- Understanding of IAM/RBAC, security, and observability.Preferred:- Lakehouse and ML workflow testing.- Great Expectations / PyTest.- Terraform / CloudFormation.- AWS certifications. (ref:hirist.tech)