Experience

• Hands-on Big Data experience using commonopen-source components (Hadoop, Hive, Spark, Presto, NiFi, MinIO, KBS, Kafka)

• Experience in stakeholder management inheterogeneous business/technology organizations

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

• Experience in large dat migration projects withon-prem Data Lakes

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

• Track record in Agile project management andmethods (e.g., Scrum, SAFe).

Skills

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

• Expert SQL skills, preferably in mixedenvironments (i.e. classic DWH and distributed)

• Working automation and troubleshootingexperience in Python using Jupyter Notebooks or common IDEs

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

• Applying a data quality framework withinthe architecture

Good knowledge of German is beneficial, excellent command ofEnglish is essential