Senior Quality Engineer
Raleigh, North Carolina, UNITED STATES; REMOTE
R
USD 91K-163K Senior-level Full Time
Tasks
- Automate data validation in PySpark
- Automate data validation in Python
- Automate data validation in SQL
- Build data quality checks and controls
- Build reusable data quality automation components
- Collaborate on permanent data fixes
- Design AI powered data quality solutions
- Design data quality frameworks
- Embed data quality gates in ETL and ELT
- Enable responsible AI practices for data quality
- Implement data observability for data drift and schema changes
- Implement data validation reconciliation and anomaly detection
- Monitor data quality metrics and trends
- Perform data quality root cause analysis
- Reconcile source to report data
- Support data governance and audit readiness
- Validate Power BI datasets and dashboards
- Validate Power BI semantic models
Perks/Benefits
- 401k contribution
- Comprehensive benefits package
- Equity stock purchase
- Incentive and recognition programs
- Telecommute within the U.S.
Skills/Tech-stack
Anomaly Detection | Batch Processing | Change detection | Data Auditing | Data Drift | Data Governance | Data Observability | Data Quality | Data Reconciliation | Data Validation | Data profiling | Databricks | Databricks Notebooks | ELT | ETL | Power BI | Power BI DAX | PySpark | Python | SQL | Schema Change | Schema change detection | Streaming Data
Regions
Countries
States
Cities
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