Senior Data Engineer – Redshift | Data Quality & Observability1789
BARRIO ARCA, Argentina
R
USD 125K-160K (estimate) Senior-level Full Time
Tasks
- Collaborate across engineering teams on data quality governance and ownership
- Create automated validation checks for business critical datasets
- Define and maintain data lineage
- Define remediation workflows validation frequency and quality metrics
- Design and implement scalable data quality framework
- Design validation processes for completeness accuracy integrity consistency reconciliation freshness and anomaly detection
- Develop dashboards and reports for data quality trends and operational health
- Develop reusable data quality rules using Rule as Code
- Implement data observability monitoring alerting and reporting
- Integrate data quality validations into CI/CD pipelines and release processes
- Operationalize Great Expectations for data validation
- Perform root cause analysis for recurring data issues and implement preventive solutions
Perks/Benefits
Skills/Tech-stack
Alerting | Amazon Redshift | Aurora PostgreSQL | CI/CD | Cause analysis | Dashboards | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Validation | ETL | Git | Great Expectations | Monitoring | PostgreSQL | Referential Integrity | Root Cause Analysis | Root cause | SQL | Soda
Education
N/A
Roles
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