Join us as a Data Engineer (f/m/d) and help build scalable and secure data pipelines and processing workflows that enable efficient data movement and analytics across TÜV SÜD's platform landscape. * Develop and maintain ETL/ELT pipelines for both structured and unstructured data * Ensure the integrity, availability, and performance of data across ingestion and storage layers * Collaborate with and to translate business requirements into scalable data models * Automate and monitor data workflows across cloud and hybrid environments * Support data platform users and teams by troubleshooting and optimizing data pipelines and flows * Proficiency in at least one of the following technologies: SQL, Python, Java, or Scala, as well as experience with data processing frameworks (e.g., Spark) * Experience with cloud-based data platforms (e.g., Microsoft Fabric, Databricks, Snowflake, GCP)
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