Data Engineer

• Design, develop, and maintain robust ETL/ELT pipelines to integrate data from multiple sources into a centralized cloud-based data platform
• Build scalable data ingestion, transformation, and enrichment processes using Python, SQL, and PySpark
• Optimize data workflows for performance, scalability, and cost efficiency in the cloud
• Implement data quality and validation checks to ensure trust in reporting, analytics, and data-infused products
• Collaborate with cross-functional teams to translate business requirements into technical data solutions
• Support large-scale transformations using distributed processing frameworks
• Troubleshoot and resolve issues in data pipelines, ensuring reliability and uptime
• Participate in code reviews and contribute to engineering standards and best practices
• Document data processes, pipelines, and schemas to improve transparency and reusability
• Stay current with modern data engineering tools, practices, and cloud technologies with a passion for continual learning and knowledge sharing
• Building with stakeholders in mind, not just raw pipelines

Développeur intermédiaire en Données, ingénierie des données

Senior Data Developer, Data Engineering

Data Engineer

Senior Data Engineer

Senior Cloud Data Engineer – MLOps / Ingénieur·e senior en données Cloud – MLOps