Tutors Participações

Data Engineer

• Data Modeling: Develop, document and maintain models in dbt/SQL (Dev, Staging, Prod), ensuring traceability and versioning.
• Data Quality: Apply automated tests to ensure maximum reliability of the holding's KPIs.
• Pipeline Architecture: Monitor ETL/ELT flows, ensuring resilience in API consumption and ingestions via Airbyte.
• Governance and Catalog: Keep models and field documentation up to date, following strict naming standards.
• Business Intelligence: Translate complex business needs into automated dashboards and reports in Metabase.
• Strategic Partnership: Collaborate with stakeholders to define and monitor operational and financial KPIs.