Sr Data Quality & Observability Engineer (Snowflake)
Eagle, ID (Eagle Headquarters), United States
USD 117K-175K Senior-level Full Time
Tasks
- Analyze data discrepancies and reconcile to systems of record
- Conduct root cause analysis for data issues
- Design data quality rules and controls
- Develop reusable data quality SQL patterns
- Document data quality standards and procedures
- Implement automated scheduling for quality checks
- Implement data observability reporting
- Manage defect triage and corrective actions
- Monitor data quality metrics and scorecards
- Perform data profiling and validation
- Support user acceptance testing and quality assurance
Perks/Benefits
- 401k plan
- Dental insurance
- Employee assistance program
- Employee events
- Employee stock purchase plan
- Financial planning services
- Flexible spending account
- Health insurance
- Health reimbursement account
- Health savings account
- Life and accident insurance
- Paid time off
- Travel up to 10 percent
- Vision insurance
- Wellness programs
Skills/Tech-stack
AWS | Aggregations | Anomaly Detection | CI/CD | CTE | Cause analysis | Conditional logic | Data Governance | Data Governance Concepts | Data Lineage | Data Observability | Data Quality | Data Validation | Data profiling | Data quality frameworks | Data quality monitoring | Date functions | Git | HANA | Informatica | Metadata Management | Quality frameworks | Quality monitoring | Root Cause Analysis | Root cause | SAP | SAP BW | SAP ECC | SAP S4HANA | SQL | Snowflake | Snowflake SQL | Stored Procedures | String Functions | Table Functions | UDF | Window Functions
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