Job Summary: We are seeking a passionate Data Engineer with experience in transforming information ecosystems, expertise in ETL processes using Spark (PySpark), and designing Data Lake and Lakehouse architectures to lead the end-to-end data lifecycle. Key Highlights: 1. Technical and personal challenges that ensure constant growth 2. A culture of continuous improvement with support and learning opportunities 3. Programs to enhance talent and care for well-being Are you **looking for new challenges** and a place where you can enjoy a close-knit environment while continuously **learning**? Welcome to a team with a clear purpose: **"TRANSFORMING** people’s lives by being the most trusted **TECHNOLOGICAL** partner"! ### **Get ready and join this adventure!** **What will you find?** --------------------- * **Technical** and personal challenges that will keep you growing constantly. * A connected team focused on **your physical and mental well-being**. * A **continuous improvement culture**, fresh and collaborative, with learning opportunities and people ready to support you. * **KaizenHub**, a program designed to enhance your talents, offering **feedback**, mentoring, and coaching through **Sofka U**. It’ll be both a challenge and a game! * Programs such as **Happy Kaizen** and **WeSofka**, which care for your physical and emotional well-being. **What are we looking for?** ------------------ A passionate **Data Engineer**, with at least **3 years of experience** transforming information ecosystems. Your profile stands out due to advanced expertise in building **ETL processes with Spark (PySpark)** and designing modern architectures such as **Data Lake and Lakehouse**. This is your opportunity to lead the full data lifecycle in a cutting-edge environment. Here, your technical skills won’t only optimize processes—they’ll become the innovation engine defining our organization’s strategic future. ### **Responsibilities** * Analyze business requirements to design data models aligned with strategic objectives. * Develop efficient data pipelines using specialized tools for integration and processing. * Apply complex transformations and rigorous controls over data structures to ensure integrity. * Implement advanced data solutions in cloud environments to maximize scalability. * Manage the development lifecycle following high-quality standards and clean coding practices. * Design data visualizations enabling stakeholders to interpret results easily. * Collaborate in agile workflows using version control systems and integrated development environments. ### **Requirements** * **Education:** Degree in Systems Engineering, Computer Science, Electronics, or related fields with a focus on data. * **Experience:** Solid experience in data engineering, data modeling, and developing Metadata-Driven solutions with parameterization. ### **Technical Knowledge** * Building ETL processes in Spark (PySpark) using Python and SQL. * Proficiency with Databricks, Azure Data Factory, and SQL Database. * Implementing solutions on public clouds (Azure, AWS, or GCP). * Data Lake and Lakehouse architectures with Metadata-Driven implementations. * Data visualization with Power BI or similar tools. * Version control with Git and Azure DevOps. * Use of IDEs such as Jupyter Notebook or Visual Studio Code. ### **APPLY NOW** and be part of this story! **Conditions** --------------- * **Indefinite-term contract** — We aim for long-term relationships and want you to be part of our family for many years! * **Looking for professional growth?** At Sofka, we offer a **learning ecosystem** with multiple tools to bridge skill gaps and enhance your capabilities. You decide how you want to grow!