Job Summary: We are seeking a Data Engineer with experience in designing, developing, and maintaining data solutions, focused on efficient pipelines and scalable architectures. Key Highlights: 1. Develop and maintain data ingestion, transformation, and modeling processes. 2. Collaborate in Cloud Native environments, primarily on AWS. 3. Work using agile methodologies such as Scrum or Kanban. DESCRIPTION We are seeking a **Data Engineer** with experience in designing, developing, and maintaining data solutions within modern environments, focused on building efficient pipelines and scalable architectures. **Work location: South of Xochimilco City. Hybrid: 2–3 days per week** ### **Responsibilities** * Develop and maintain **data ingestion, transformation, and modeling** processes. * Implement data models under the **Bronze, Silver, and Gold** architecture. * Design and optimize **SQL queries** and database structures (logical and physical). * Build and maintain **data pipelines** and **orchestration** workflows. * Participate in solutions based on **Data Lake, Data Warehouse, and Lakehouse**. * Work with **containers using Docker** (local environments and deployments). * Collaborate in **Cloud Native** environments, primarily on **AWS**. * Implement best practices for **version control (GitHub)** and **CI/CD**. * Participate in projects managed with **Azure DevOps**. * Work using agile methodologies such as **Scrum or Kanban**. REQUIREMENTS **Requirements** ------------------ ### **Essential Technical Skills** * Experience with Python or Scala. * Proficiency in SQL (queries, optimization, logical and physical modeling). * Knowledge of layered data modeling (Bronze, Silver, Gold). * Understanding of architectures: * Data Lake * Data Warehouse * Lakehouse * Basic experience in data orchestration (pipelines). * Familiarity with Cloud Native environments. * Use of Docker (local containers). * Basic knowledge of AWS. * Proficiency in GitHub for version control. * Knowledge of CI/CD practices. ### **Methodologies and Tools** * Experience with Azure DevOps (Boards preferred). * Work using agile methodologies such as Scrum or Kanban. ### **Desirable** * Experience with tools such as Airflow or Databricks. * Knowledge of pipeline optimization. * Experience in analytics or data governance projects.