Azure Data Engineer

São Paulo, Brazil Contracted Experienced **Job Title:** **Azure Data Engineer** **Experience:** **5\+ Years** --------------------------------------------------------------------- ### **Job Description:** We are looking for a skilled **Azure Data Engineer** to design, build, and optimize scalable data pipelines and analytics solutions on the Azure cloud platform. The ideal candidate will have strong hands\-on experience with **Azure Data Factory, Databricks, PySpark, Python**, and **Power BI**, and will work closely with business and analytics teams to deliver reliable, high\-performance data solutions. ### **Key Responsibilities:** * Design, develop, and maintain **end\-to\-end data pipelines** using **Azure Data Factory (ADF)**. * Build and optimize **ETL/ELT workflows** using **Azure Databricks** and **PySpark**. * Develop data processing logic and transformations using **Python**. * Ensure data quality, performance, scalability, and reliability of data solutions. * Collaborate with stakeholders to understand business requirements and translate them into technical solutions. * Support data modeling and prepare curated datasets for reporting and analytics. * Create and optimize **Power BI datasets and reports** for business insights. * Monitor, troubleshoot, and optimize data pipelines in production environments. ### **Required Skills \& Qualifications:** * 5\+ years of experience as a **Data Engineer**. * Strong hands\-on experience with **Azure Data Factory (ADF)**. * Expertise in **Azure Databricks**, **PySpark**, and **Python**. * Experience building scalable data pipelines and processing large datasets. * Strong SQL and data modeling skills. * Hands\-on experience with **Power BI** (datasets, reports, performance optimization). * Good understanding of cloud data architecture and best practices. ### **Preferred Qualifications:** * Experience with Azure data services such as **Azure Data Lake, Synapse Analytics**. * Understanding of data governance, security, and access controls. * Experience working in Agile/Scrum environments. * Strong communication and problem\-solving skills. ### **Nice to Have:** * Experience in regulated industries (Finance, Healthcare, etc.). * Exposure to CI/CD pipelines for data engineering workloads.