Description
Job Summary:
Senior Data Engineer to lead the evolution of data architecture, ensuring scalability, performance, and analytical intelligence for critical operations.
Key Highlights:
1. Lead the evolution of data architecture
2. Work with Data Lakes, scalable data pipelines, and Google BigQuery
3. Support Machine Learning initiatives and optimize Qlik dashboards
#### **About the Data Engineer Role**
**Senior Data Engineer**
To lead the evolution of data architecture, ensuring scalability, performance, and analytical intelligence to support the business’s critical operations.
**Key Responsibilities**
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* Design, implement, and evolve **Data Lakes** and scalable data pipelines
* Handle ingestion, transformation, and delivery of large volumes of data
* Integrate data from the ERP system **TOTVS Protheus**, as well as satellite systems (sales, inventory, logistics, etc.)
* Develop and optimize pipelines using **Google BigQuery**
* Ensure data quality, governance, and reliability
* Collaborate closely with business areas (sales, supply chain, logistics)
* Support **Machine Learning** initiatives by structuring data for predictive models
* Support and optimize dashboards and analytics in **Qlik**
**Technical Requirements**
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* Solid experience as a Data Engineer (senior level)
* Strong expertise in **Data Lake and modern data architecture**
* Experience ingesting data from ERPs, especially **TOTVS Protheus**
* Practical experience with **Google BigQuery**
* Knowledge of BI tools, especially **Qlik**
* Experience with ETL/ELT and data modeling
* Experience preparing data for **Machine Learning**
* Experience in high-volume data environments
**Preferred Qualifications**
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* Experience in **retail (multi\-store)** companies
* Experience with **inventory, sales, and supply chain** data
* Projects involving **demand forecasting and logistics optimization**
* Experience with large-scale data from **TOTVS Protheus**
**Work Model**
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* 100% Remote