Senior Data Engineer

The Data Engineer will be responsable on designing, developing, and maintaining scalable data pipelines and models that power analytics and decision-making across the organization. It blends hands-on engineering with cross-functional collaboration, requiring expertise in Databricks, Spark, Python, AWS, and modern data architecture.

• Architect Scalable Data Pipelines: Design, develop, and maintain reliable ETL/ELT workflows using Databricks, Spark, and Python.
• Enable Data Access & Analytics: Partner with analytics, product, and engineering teams to ensure timely, accurate, and governed access to data.
• Optimize Data Workflows: Improve performance, reduce latency, and streamline processes.