Data Engineer

Experience:

. Hands-on Big Data experience using common open source components (S3, Hive, Spark, Trino, MinIO, K8S, Kafka)

. Experience in stakeholder management in heterogeneous business/technology organizations

. Experience in banking or financial business, with handling sensitive data across regions

. Experience in large data migration projects with on-prem Data Lakes

. Hands-on experience in integrating Data Science Workbench platforms (e.g. Knime, Cloudera, Dataiku)

. Track record in Agile project management and methods (e.g., Scrum, SAFe).

Skills

. Knowledge of reference architectures, especially concerning integrated, data-driven landscapes and solutions

. Expert SQL skills, preferably in mixed environments (i.e. classic DWH and distributed)

. Working automation and troubleshooting experience in Python using Jupyter Notebooks or common IDEs

. Data preparation for reporting/analytics and visualization tools (e.g Tableau, Power BI or Python based)

. Applying a data quality framework within the architecture

. Excellent command of English is essential

. Higher education (e.g. Fachhochschule,Wirtschaftsinformatik)