Data Quality & Test Engineer
First seen by Alion on Oct 6, 2026.
Role : Data Quality & Test Engineer
Experience: 5 - 8 Years
Location: Hybrid / Remote
Employment: Full-time
Role & 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 activities.
Required 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.
Skills
Software Quality Assurance, Testing, ETL/Datawarehouse Testing, Validation Testing, Python, PyTest, API Testing, Defect/Bug Management Process, Automation Testing