Data Engineer role in Copenhagen designing and optimizing data platforms on Azure Databricks. Day-to-day involves building scalable data products with PySpark, Spark SQL, and Delta Lake using a Medallion architecture, implementing ingestion frameworks, managing ADLS Gen2 storage, and supporting CI/CD for data pipelines with governance and compliance in mind.
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