. Hands-on Big Data experience using common open- source components (Hadoop, Hive, Spark, Presto, NiFi, 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).

. Covering all processes from enterprise reporting to data science (incl. ML Ops)

* Maintain and model JSON based schemas and metadata. to re-use it across the organization (with central tools)

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