Data Pipeline Engineering: Design, develop, and deploy robust and scalable data pipelines using Databricks, incorporating data extraction from diverse sources (databases, APIs, streaming platforms), transformation and cleansing using Spark, and loading into target systems (data lakes, data warehouses, etc.). * Collaboration and Communication: Work closely with , , , and business stakeholders to understand their data requirements and provide technical expertise on Databricks and data engineering best practices. * Continuous Learning: Stay up to date with the latest Databricks features, cloud technologies, and data engineering trends to continuously improve our solutions and deliver innovative * Hold a University Degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Le
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