Senior Data QA Engineer
Tasks
- Create framework documentation and best practices
- Create reusable testing components
- Define data quality rules and validation patterns
- Define test scenarios and acceptance criteria
- Design Data Quality Framework
- Ensure security governance and data management alignment
- Implement automated data pipeline testing
- Integrate data QA into CI CD
- Investigate data defects and perform root cause analysis
- Support production incident analysis
- Validate ETL ELT workflows and schemas
- Validate Spark workload performance reliability scalability
Perks/Benefits
- Extra vacation days
- Flexible working environment
- Performance bonus
- Reimbursement
- Training and certifications
Skills/Tech-stack
Apache Spark | Automated testing | Azure Data | Azure Data Factory | Azure Databricks | CI/CD | Data Factory | Data Modeling | Data Quality | Data Reconciliation | Data Validation | Delta Lake | Distributed Computing | ELT | ETL | Lakehouse | PySpark | Python | Regression testing | SQL
Education
N/A
Roles
Data QA Engineer | Engineer | QA Engineer | Senior Data QA | Senior Data QA Engineer
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