Designing, building and supporting machine learning data architectures including the design & set-up of scalable (big) data lakes (full cloud or hybrid cloud), scheduled transformations & data governance
Configuring and using IaaS services (like VM, networking, storage).
Configuring and using IaaC services (like Terraform)
Configuring and using PaaS services (like WebApp, Database services, Kubernetes, Data Lake, Databricks etc.).
Working hand-in-hand with the data scientist deploying machine learning as scalable API services in a perfect fit with the data architecture
Build automated processes using well-known languages and frameworks such as PowerShell, CLI, python, YML, JSON, Puppet, Jenkins pipe-line, Terraform, Azure Templates, Cloud Formation
Deliver impact in a fast-paced, data-driven, and high-growth business, bringing innovative ideas using robust analysis, models, and insights, and in an Agile environment.
Job Type: Full-time
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