As a Data Engineer with PySpark, you will: * Design, develop, and maintain scalable and reliable data processing solutions using PySpark. * Build and manage robust batch and streaming data pipelines. * Develop efficient data transformation and processing solutions using Python, PySpark, and SQL. * Design, develop, and optimize data models to support scalable and high-performance data processing. * Work with large datasets and complex data processing workloads. * Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability. * Implement data quality, validation, and error-handling mechanisms across data pipelines. * Collaborate with engineering, architecture, and business teams to deliver reliable data solutions. * Contribute to Agile development practices and continuously improve data engineering standards and processes. What You Bring to the Table: * 5+ years of professional experience in Data Engineering or a related field. * Strong hands-on experience with PySpark as a core data processing technology. * Strong proficiency in Python, PySpark,



and SQL. * Hands-on experience developing and maintaining batch and streaming data pipelines. * Experience working with large-scale data processing and transformation. * Good understanding of data modeling, data integration, and data optimization. * Experience with cloud-based data platforms and modern data engineering architectures. * Experience with data quality, validation, troubleshooting, and performance optimization. * Familiarity with CI/CD and modern software engineering practices. * Experience working in Agile development and delivery environments. * Strong communication, collaboration, analytical, and problem-solving skills. You Should Possess the Ability to: * Develop scalable and high-performance data pipelines using PySpark. * Build efficient data transformations using Python, PySpark, and SQL. * Process and manage large volumes of structured and unstructured data. * Optimize Sp

📌 Data Engineer with Pyspark (Comunidad de Madrid)
🏢 STAFIDE
📍 Comunidad de Madrid