Data Quality Engineer
Buenos Aires, Buenos Aires, Argentina
CAD 94K-125K (estimate) Mid-level Full Time
Tasks
- Build automated data quality checks in Databricks pipelines
- Define acceptance criteria for sprint pipeline and data model deliverables
- Design data quality framework across bronze silver gold layers
- Document QA processes test results and data quality findings
- Investigate and triage data quality incidents
- Monitor pipeline health post deployment
- Perform end to end pipeline testing
- Reconcile source systems with Databricks layers
- Support UAT with business stakeholders
- Validate identity resolution outputs in silver layer
Perks/Benefits
- Career development plans
- Company-provided equipment
- English lessons
- Flexible working options
- Learning opportunities
- Mentorship programs
- Special day rewards
- Study plans and courses
- Travel opportunities
- Udemy Business
Skills/Tech-stack
Automated testing | Azure | Data Pipeline Monitoring | Data Quality | Data Reconciliation | Data Validation | Data pipeline | Databricks | ELT | ETL | Null Checks | Pipeline monitoring | Referential Integrity | Row Counts | SQL | Schema Validation
Education
N/A
Roles
Regions
Countries
States
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