Data Quality Engineer
Santiago, Santiago Metropolitan Region, Chile
CLP 5020K-9625K (estimate) Mid-level Full Time
Tasks
- Build automated data quality checks
- Define pipeline acceptance criteria
- Design Data Quality Framework
- Document QA processes and results
- Monitor pipeline health and triage incidents
- Perform end to end pipeline testing
- Reconcile source systems and data layers
- Support UAT with business stakeholders
- Validate identity resolution outputs
Perks/Benefits
- Company-provided equipment
- English lessons
- Flexible working options
- Learning opportunities
- Mentorship programs
- Travel opportunities
- Udemy Business
Skills/Tech-stack
Automated testing | Azure | Data Pipeline Monitoring | Data Reconciliation | Data Validation | Data pipeline | Databricks | ELT | ETL | Identity resolution | Null Checks | Pipeline monitoring | Referential Integrity | SQL | Schema Validation | Snowflake | UAT testing
Education
N/A
Roles
Regions
Countries
States
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