Job Summary: We are seeking an experienced Data Engineer skilled in designing, developing, and optimizing scalable data solutions for analytics and large-volume information processing on Microsoft Azure. Key Highlights: 1. Design and develop scalable and efficient data pipelines. 2. Collaborate on analytics and data projects. 3. Ensure best practices in development, versioning, and documentation. We are looking for a **Data Engineer** with solid experience in designing, developing, and optimizing scalable data solutions focused on analytics and large-volume information processing within the **Microsoft Azure** ecosystem. ### **Mandatory Requirements:** * **Advanced English C1\.** * **\+5 years as Data Engineer** * **Proven, substantial experience with Azure Databricks (mandatory)**. * Proficiency in **Apache Spark (PySpark)** for large-scale data processing. * Experience working with **Azure Data Lake Storage Gen2 (ADLS)**. * Advanced **SQL** knowledge for data analysis and transformation. * Experience building, orchestrating, and maintaining **data pipelines**. * Knowledge of **data modeling** and **Data Warehouse** concepts. * Use of **Git** for version control and collaborative work. ### **Main Responsibilities** * Design and develop scalable and efficient data pipelines. * Implement data transformation and processing workflows in Azure Databricks. * Optimize queries and data flows to improve performance and data quality. * Participate in designing analytical models and data warehouse structures. * Collaborate with cross-functional teams on analytics and data projects. * Ensure best practices in development, versioning, and documentation. ### **We Offer** * Salary commensurate with your years of experience. * Bi-weekly nominal payment. * Above-legal statutory benefits. * Indefinite-term contract. * **HYBRID WORK IN MEXICO CITY** If you meet the profile, please apply with your updated CV.