AI Data Quality Assurance Engineer
Tasks
- Automate audits for data quality results
- Build data quality test automation frameworks
- Collaborate with data engineers and analytics teams
- Define data quality strategy
- Design batch and streaming data pipeline tests
- Enforce schema validation null checks referential integrity lineage tracking
- Establish data quality gates
- Integrate data quality tests into CI/CD pipelines
- Monitor data drift anomalies volume changes performance regressions
- Provide actionable feedback on data quality risks
- Validate data against business rules
- Validate data transformations and reconciliations
- Validate ingestion transformation storage consumption stages
- Validate inputs outputs for LLM based systems
- Verify ML inference output accuracy
- Verify analytics reporting accuracy
Perks/Benefits
Skills/Tech-stack
CI/CD | Data Drift | Data Lineage | Data Quality | Data Quality Testing | Data Reconciliation | Data drift monitoring | Drift monitoring | Null Checking | Python | Quality testing | Referential Integrity | Schema Validation | Test automation
Regions
Countries
States
Cities
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