Be part of an international team that designs and maintains a mature cloud native data science platform, currently serving more than 14 internal analytics teams and 600+ users.
Closely collaborate with key stakeholders from business data science teams and IT data engineering teams to enable them on the platform. Identify new requirements, analyze platform suitability, propose best practices and existing solutions through demos...
Act as a hands-on data engineer to onboard new use cases and optimize existing ones, build production ready ETL pipelines, ML/AI use cases and reporting solutions.
Implement new infrastructure components with Infrastructure as code (IaC), as well as creating templates to ensure best practices and standardization among analytics teams.
What You Bring
4+ years of practical experience building production data pipelines, data modeling and BI tool...