Data Engineer (dbt)

Description

Job Summary: We are seeking a passionate Data Engineer (dbt) who is enthusiastic about data and innovation to join our Data & Analytics team and participate in all phases of data projects. Key Highlights: 1. Participate in all phases of data projects. 2. Work with innovative technologies in a global and collaborative environment. 3. Continuous training and professional development in Data & Analytics. At **SDG Group**, we are looking for a professional passionate about data and innovation to join our Data \& Analytics team as a **Data Engineer (dbt)**. **Essential Requirements:** * Degree in Computer Engineering, Telecommunications, Data Science, Industrial Engineering, or equivalent education. * Minimum 3 years of professional experience as a Data Engineer. * Professional experience managing **SQL** databases and developing and optimizing data transformation processes **(ETL/ELT)** using **dbt** (data build tool). * Solid experience with **dbt** (modeling, tests, sources, documentation, best practices). * Experience in consulting or agile environments. * Strong communication, analytical skills, and business orientation. **Desirable Requirements:** * Professional experience in Cloud projects and architectures (AWS, GCP, or Microsoft). * Professional experience with Python. * Knowledge of Snowflake or similar data warehousing platforms. * Intermediate\-advanced level of English. **Mission:** * Participate in all phases of data projects: requirement definition, data ingestion and transformation, modeling, visualization, and deployment. * Work with SQL databases, ETL tools, and Cloud solutions, integrating data from diverse sources. * Collaborate on Cloud architectures and automation processes. * Attend client meetings and participate in internal and external training. **What SDG Offers:** * Permanent contract and competitive salary based on experience. * Career plan based on meritocracy. * Opportunity to work with innovative technologies in a global and collaborative environment. * Continuous training and professional development in Data \& Analytics.