ETL QA Engineer
Department: Delivery
Experience: 5β7
Job Title: QA Engineer β Data & Platform Quality Assurance
Experience Level
Role Overview
Key Responsibilities
Data & ETL Testing
- Validate data quality, schemas, row counts, and business logic.
- Test ETL pipelines built in Databricks and ADF.
- Validate Silver and Gold layer transformations.
Data Warehouse & API Testing
- Test Synapse data models, views, and stored procedures.
- Perform API testing for metadata, lineage, and reporting services.
- Validate API responses, security, and performance.
Automation & CI Testing
- Build and maintain automated test suites for ETL and APIs.
- Integrate data and API tests into CI pipelines.
- Use automation frameworks such as pytest, Selenium, or Tosca.
Lineage, Reconciliation & SLA Validation
- Validate data lineage completeness and accuracy.
- Perform source-to-target reconciliation.
- Validate SLAs, data freshness, and pipeline execution windows.
Required Skills & Experience
Technical Skills
- Strong experience in ETL testing and data validation.
- Strong SQL skills for data validation.
- Experience with API testing tools and frameworks.
- Experience with test automation frameworks (pytest, Selenium, Tosca).
- Knowledge of data quality checks and reconciliation techniques.
- Experience integrating tests into CI pipelines.
Soft Skills
- Strong analytical and attention-to-detail skills.
- Ability to work across engineering and business teams.
- Strong documentation and defect tracking skills.
Nice to Have
- Experience testing cloud-based data platforms.
- Exposure to data governance or lineage tools.
- Familiarity with Azure DevOps pipelines.
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