The role develops and maintains automated batch and streaming data ingestion pipelines, expands hybrid data platforms using Spark or Databricks, implements data quality and governance controls, and supports data-processing performance. It requires hands-on distributed computing, Python, SQL, cloud, Docker, Git, data modeling, and testing knowledge, along with German and English proficiency and a degree in computer science, data engineering, or a comparable field.
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