Data Engineer (Modern BI & Big Data)

Requirements

• +3 years of role experience
  
• Proven experience in developing and maintaining secure and efficient data pipelines using technologies such as Azure Data Factory, Azure Synapse, Microsoft Fabric, Databricks, Azure SQL
  
• Strong programming skills and orientation in languages ​​such as PySpark and SQL
  
• Design, implement and optimize SQL processes, functions, stored procedures to meet data analysis and processing needs
  
• Ability to collaborate with data scientists and other data engineers to ensure data quality and integrity
  
• Implement BI modeling solutions to support data-driven decision making
  
• Monitor and improve the performance of ETL and ELT data transformation processes
  
• Experience in projects with new data architectures focused on the Cloud and supported by systems such as Lakehouses
  
• Follow the good practices defined for each technology and critical sense to improve
  
• Sense of responsibility in responding to teams and hierarchies
  
• Consultancy-oriented approach
  
  

• Knowledge of other technologies such as SQL Server, SSIS, SSAS, SSRS, more focused on onPremise systems
  
• Other data-adjacent technologies such as Azure Logic Apps, Functons, Key Vault, Log Analtycs, etc. are highly valued
  
• Ability to analyze project needs in the technical component
  
• Implementation of other activities outside the engineering domain such as modeling and visualizations
  
• Knowledge of PowerBI (semantic modeling and DAX) is highly valued
  
• Knowledge of other technologies such as Snowflake, DBT, Airflow or other Cloud Providers are valued
  
• Knowledge of DevOps and CI/CD practices for data pipelines
  
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