Datasets and data pipelines preparation, support for Business, data troubleshooting.
Closely collaborate with the Data & Analytics Program Management and stakeholders to co-design Enterprise Data Strategy and Common Data Model
Implementation and promotion of Data Platform, transformative data processes, and services
Develop data pipelines and structures for Data Scientists, testing such to ensure that they are fit for use
Maintain and model JSON based schemas and metadata to re-use it across the organization (with central tools)
Resolving and troubleshooting data related issues and queries
Covering all processes from enterprise reporting to data science (incl. ML Ops).
Experience
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)
