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Overview of contract
On behalf of our client, a large bank in Switzerland, we are looking for a Data Engineer.
Duration : 12 months - with possibility of extension / internalization
Key Responsibilities :
* 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)
* Requirements Gathering : Document what GDP can currently do versus what it should be able to do (GAP Analysis), including historization and reporting capabilities
Required Experience and Skills :
* 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
* 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)
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