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Design, build, and maintain data pipelines and models using ETL/ELT tools and cloud platforms;
• Implement data quality verification, monitoring, and alerting mechanisms to ensure data accuracy and reliability;
• Develop and optimize data warehouse and data lake architectures and schemas to meet diverse BI and analytics needs;
• Provide technical support and guidance to end users and other IT teams on data-related issues and requests;
• Research and evaluate new technologies and best practices to improve data engineering capabilities and performance.
• Develop analytics documentation and specifications;
• Comply with identified legal obligations;
• Degree in Computer Engineering or similar;
• Minimum of 3 years of professional experience in the field;
• Knowledge of Azure Data Factory, Azure Databricks, Microsoft Data Fabric, Microsoft Power BI Semantic Models, Microsoft Power BI for reporting
• Knowledge of SQL Server Database;
• Knowledge of SAP data extraction is valued
• Experience in developing functional and technical documentation;
• Proficiency in English and Spanish is valued;
• High level of autonomy and responsibility;
• Strong interpersonal communication skills;
• Sense of collaboration and dedication.
