Senior Data Engineer – Redshift | Data Quality & Observability1789
Summary
Senior Data Engineer responsible for data quality governance, creating automated validation checks, defining data lineage, designing scalable data quality frameworks, and implementing observability monitoring using Redshift and Great Expectations.
- 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:
- Collaborative environment
- Fully remote position