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Mission:
- Build and operate data pipelines between CRM, Data Lake, and AEP.
- Ensure data quality, LGPD compliance, and engagement measurement.
Evaluation:
- Monitor production pipelines with defined SLA and error rates.
- Automate data quality verification and reconciliation.
Responsibilities:
- Design ETL/ELT pipelines and model analytical tables.
- Implement data quality testing, alerting, and incident investigation.
Requirements:
- Advanced SQL, Python, Databricks; experience with CRM and Data Lake.
- Knowledge of data privacy (LGPD) and data quality practices.
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