About the Role
- Support post‑acquisition integrations, including data migration, mapping, validation, and system alignment
- Contribute to the implementation and continuous development of the ERP platform
- Build and optimize data warehouses on Google BigQuery (advanced SQL, partitioning, clustering, efficient loading)
- Develop modular, documented transformation layers using dbt or equivalent tools
- Implement and orchestrate data pipelines using Apache Airflow (Cloud Composer)
- Use Python for data processing, automation, and API integrations
- Ensure data quality, reliability, and availability through monitoring, logging, and governance best practices
Design andmaintainscalable data architectures and models supporting finance andbusinessanalytics
- Bachelor's or Master's in Finance, Computer Science, Data Engineering, or related field
- 2+ years as a Data Engine...
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