Data Engineer plays a crucial role in developing and optimizing data engineering processes within this platform. This involves creating and maintaining data pipelines, transformation scripts, and models to support data ingestion and processing. The role requires collaboration with both technical and non-technical stakeholders to ensure data solutions meet business needs and performance standards. The engineer is responsible for troubleshooting data issues, enhancing existing tools, and supporting the adoption of data engineering practices across the organization.
- Ensure Quality: Test and remediate data engineering products to ensure they meet quality and performance standards before deployment.
- Resolve Issues: Investigate and address data engineering-related issues reported by users, developing effective solutions or workarounds.
- Support User Needs: Ensure that data engineering products are fit for purpose and compatible with user needs and capabilities.
- Adhere to Best Practices: Conduct all activities in accordance with adopted methods, processes, and industry standards.
At Randstad Digital, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.