Junior Data Engineer

Description

Job Summary: This Junior Data Engineer supports the team in building, maintaining, and documenting data solutions, with a focus on leading solutions and influencing architectures. Key Highlights: 1. Lead solutions and influence architectures 2. Challenging projects with major enterprises 3. Encouragement for continuous learning and certifications **?** **Job Opening \| Junior Data Engineer** ? **Location:** Remote or Hybrid (Solo Network Offices – SP or PR) ? **Employment Model:** Cooperative ? **Area:** Data, AI, and Modernization **?** **About Solo Network** The **Solo Network** is one of the leading **Microsoft integrators in Latin America**, recognized for delivering high-impact projects with technical excellence and strong client proximity. We are currently experiencing **rapid expansion of our Data and AI practice**, and we seek professionals who want to go beyond execution: here, you will have the opportunity to **lead solutions, influence architectures, and deliver real value to large organizations**. If you thrive on technical challenges, continuous learning, and enjoy working alongside people who truly understand data, this may be your place. **?** **About the Role** Support the Data Engineering team in building, maintaining, and documenting data pipelines and data solutions. Perform supervised tasks, assisting in data preparation, collection, transformation, and integration, ensuring proper organization, standardization, and basic reliability of information. Contribute to simple technical analyses, always in collaboration with more experienced professionals, while also supporting internal and external projects related to data engineering, and performing other related and inherent duties. **✅** **Mandatory Requirements** * Experience with **ETL/ELT** for data extraction, transformation, and loading; * Experience with cloud and on\-premise data architectures (Azure and/or Google Cloud); * Monitoring and optimization of data pipelines; * Strategies for **data quality, validation, and integrity**; * Implementation of **Data Lakes and Data Warehouses**; * Process automation using **Python and SQL**; * Knowledge of: * + Advanced Python and SQL + Relational and non-relational databases (SQL Server, PostgreSQL, MongoDB, etc.) + Azure Data Factory, Synapse, Databricks, Fabric, or similar tools + Version control with Git + Concepts of **DataOps and Data Governance** * Clear and structured technical documentation. * **Requirements:** * **Education:** IT, Computer Science, Software Engineering, Data Science, Systems Analysis and Design, or related fields, or relevant certifications * **Preferred Certifications:** Azure Fundamentals (AZ\-900\), Google Cloud Digital Leader, and DP\-900 – Azure Data Fundamentals **?** **What We Offer** * Challenging projects with **major enterprises across diverse industries**; * An experienced, collaborative, and open-minded technical team; * Freedom to propose solutions and advance technically; * Direct exposure to **Microsoft technologies and emerging solutions**; * Support for continuous learning, including **certification programs, training, and technical communities**.