We are looking for a Senior Data Engineer for a challenging project. This role is essential for developing and enhancing our data infrastructure to ensure seamless integration and efficient handling of large-scale datasets. We're looking for someone with a strong background in data modeling, particularly in retail settings, and excellent analytical abilities. What you'll do: Design, develop, and maintain scalable data architectures and pipelines. Implement and manage data models using extensive JSON structures to describe retail entities. Optimize data processing workflows and manage data integration tasks. Collaborate with cross-functional teams to understand and meet their data requirements. Ensure data quality and integrity within our infrastructure. Leverage GCP, BigQuery, Python, SQL, Spark, Kubernetes, Docker, Terraform, and IaC tools to streamline data processes. Take initiative in troubleshooting and resolving data-related issues. Continuously improve data engineering practices and stay updated with the latest industry trends. Provide mentorship and guidance to junior data engineers. What you will need to bring: Experience as a Senior Data Engineer or in a similar role; Expertise in GCP and BigQuery; Proficiency in Python and SQL; Experience with Spark and Kubernetes; Strong knowledge of IaCprinciples and tools such as Docker and Terraform; Demonstrated ability indata modeling, particularly with JSON structures. What will be valued: Experience with Databricks; Knowledge of the retail, CPG, finance, or trading sectors. What can Syone offer me: Integration in an organization with profound and sustained growth and involvement in pioneering projects with innovative technological solutions; Strong IT training plans; Professional evolution with intervention in ambitious technological projects, both national and internationally. #J-18808-Ljbffr