### **Responsibilities** * Design, develop, and maintain data engineering solutions on the Microsoft Azure ecosystem. * Design and build data models optimized for analytical environments and large volumes of information. * Develop data integration and transformation pipelines (ETL/ELT) using Azure Databricks and Azure Data Factory. * Create and optimize SQL queries, stored procedures, and database structures. * Participate in designing scalable and efficient data architectures. * Implement data loading, transformation, and consumption processes for various business areas. * Ensure data quality, integrity, and availability. * Collaborate with multidisciplinary teams in Agile environments. * Participate in continuous improvement initiatives and automation of data processes. * Document developments, processes, and implemented solutions. ### **Requirements** * Minimum 4 years of experience as a Data Engineer. * Demonstrable experience with Azure Databricks, Azure Synapse Analytics, Azure Data Factory, and Azure SQL Database. * Solid experience in data model design and construction. * Experience defining tables, complex relationships, query optimization, and stored procedures. * Experience developing complex data pipelines and transformations in Databricks. * Advanced SQL proficiency. * Experience with Python for data processing and transformation. * Experience working on projects using Agile methodologies. * Minimum English proficiency level: B2. * Ability to work autonomously in complex data engineering environments.
David Muñoz
Indeed · HR
David Muñoz
Indeed · HR
