Data Engineer

Build scalable data pipelines and architectures as a Data Engineer at PALO IT, a global technology consultancy. Work with cross-functional teams to transform raw data into actionable insights. Collaborate with data scientists, analysts, and business teams to ensure data quality, governance, security, and availability across multiple systems.

Requirements

• Design, develop, and maintain scalable ETL/ELT pipelines
• Build and optimize data lakes and data warehouse solutions
• Develop robust data ingestion and transformation processes using Python, SQL, and Scala
• Work with distributed data processing frameworks such as Apache Spark and Hadoop
• Orchestrate and monitor workflows using Apache Airflow
• Ensure data quality, governance, security, and availability across multiple systems
• Collaborate with Data Scientists, Analysts, and Business teams to understand data requirements and deliver high-quality datasets
• Optimize database performance and manage large-scale datasets across SQL and NoSQL technologies
• Implement best practices for version control, CI/CD, testing, and code quality using Git
• Participate in architecture discussions and contribute to technical decision-making
• Support cloud-based data solutions leveraging AWS, GCP, or Azure ecosystems
• Continuously improve platform scalability, performance, and operational excellence through automation and AI-assisted engineering practices

Benefits

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training
• Entrepreneurship & intrapreneurship