Data Quality Engineer (Python & Databricks)
Tasks
- Build automated data quality gates
- Design automated data validation pipelines
- Develop data parity checks
- Integrate validation into CI/CD pipelines
- Monitor pipeline telemetry and produce validation evidence
- Troubleshoot data quality issues
- Use AI assisted tools for test automation
- Validate Airflow and Cloud Composer DAG execution
- Validate data integrity across Kafka
- Verify replication accuracy during cloud migrations
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Amazon S3 | CI/CD | Cloud Composer | Cloud Migration | Cloud Storage | Data Integrity | Data Reconciliation | Data Validation | Data pipeline | Databricks | ETL | GCP | Google Cloud | Google Cloud Storage | Jenkins | Kafka | Python | Redis | SQL
Education
N/A
Roles
Data Quality | Data Quality Engineer | Engineer | Quality Engineer
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