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BI / Data Analytics Specialist – Senior (Data Engineering)

R$13,800/year
Indeed
Full-time
Onsite
No experience limit
No degree limit
Praça do Patriarca, 62 - Historic Center of São Paulo, São Paulo - SP, 01002-010, Brazil
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Description

Job Summary: As a Data Engineer, you will be responsible for designing ETL pipelines, developing SQL queries and routines in Databricks to deliver high-quality data to the BI team, ensuring governance and traceability. Key Highlights: 1. Work as a Data Engineer, designing ETL pipelines. 2. Develop and optimize SQL queries and routines in Databricks. 3. Ensure data governance, consistency, and traceability. São Paulo Hybrid CLT 13800 Technical Skills Experience in data integration for consumption by BI tools; solid knowledge of ETL and best practices for data quality; advanced proficiency in SQL and Databricks Description **About AEGEA** ----------------- AEGEA is the **largest private sanitation company in Brazil**, operating in 15 states and serving over **31 million people**. In an environment of **strong growth and transformation**, the company seeks data professionals who can contribute to building strategic indicators, automating processes, and advancing performance management across its operations. **Responsibilities** --------------------- * Work as a **Data Engineer**, designing **ETL** pipelines for integrating diverse data sources. * Develop and optimize **SQL queries** and routines in **Databricks** to deliver high-quality data to the BI team. * Ensure data governance, consistency, and traceability. * Automate data ingestion and transformation workflows, prioritizing scalability. * Collaborate closely with departments such as Customer Service, Legal, and Finance to deliver reliable datasets for analysis. **Requirements** -------------- * Bachelor’s degree in Administration, Economics, Information Systems, or related fields. * **Advanced proficiency in SQL and Databricks** (mandatory). * Solid experience in **ETL and automation of data processes**. * Knowledge of best practices in data governance and data modeling. * Preferred: Experience in environments with large customer volumes and multiple data sources. * Technical reading English (desirable).

Source:  indeed View original post
João Silva
Indeed · HR

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