Senior Data Engineer – Data Quality & Observability |1789
buenos aires, Argentina
R
USD 120K-151K (estimate) Senior-level Full Time
Tasks
- Build dashboards and reports for data quality trends
- Collaborate with engineering teams on data quality governance
- Create automated validation checks
- Define and maintain data lineage
- Design and implement scalable data quality framework
- Design validation processes completeness accuracy integrity consistency reconciliation freshness anomaly detection
- Develop reusable data quality rules using Rule as Code
- Implement data observability monitoring alerting reporting
- Integrate data validations into CI CD pipelines
- Operationalize Great Expectations data validation
- Perform root cause analysis for recurring data issues
Perks/Benefits
Skills/Tech-stack
Alerting | Amazon Aurora | Amazon Aurora PostgreSQL | Amazon Redshift | Aurora PostgreSQL | Batch Processing | CI/CD | Cause analysis | Dashboards | Data Lineage | Data Modeling | Data Observability | Data Reconciliation | Data Validation | ETL | Git | Great Expectations | Referential Integrity | Reporting | Root Cause Analysis | Root cause | SQL | Soda
Education
N/A
Roles
Regions
Countries
States
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