Automation Engineer, Data Quality (R-19246)
Tasks
- Automate data quality testing
- Build data validation pipelines
- Create and update data models
- Design automation for data quality processes
- Develop logging metrics and dashboards
- Document data quality processes and automation assets
- Ensure compliance with data governance policies
- Generate data quality reports and analyze trends
- Handle rule execution exceptions
- Implement monitoring, alerting, and reporting
- Improve orchestration scheduling and error handling
- Integrate automation into data ecosystems
- Translate data quality rules into production pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Alerting | Apache Airflow | Automated testing | CI/CD | Cloud Computing | Dashboards | Data Governance | Data Modeling | Data Pipelines | Data Validation | Data profiling | DevOps | ELT | ETL | GCP Composer | Java | Logging | Metrics | Monitoring | Observability | Python | SQL | Semi-structured | Semi-structured Data | Structured data | Terraform | Workflow Orchestration
Education
N/A
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