Sr. Cloud Engineer Analytics
2 weeks ago
- Masters degree in Computer Science, Engineering, or similar
- 3-5 years of working experience in Microsoft Azure Cloud development (infrastructure as code) & proficient knowledge especially the Data Platform Stack (ML, Databricks, Data Factory, etc.) and Application Development Stack (Container Apps, Web Apps, etc.)
- Proficient Knowledge of Azure Network Design (Private Link, VPC Setup, Azure Firewall etc. ) and Azure Authentication Management
- Coding skills in PowerShell, Azure Resource Monitor/ARM, Bicep, Terraform as well as Infrastructure as Code, CI/CD, Github and Github Actions are a must
- Good knowledge about Data Modelling / Data Warehousing / Data Science / Application Development, Snowflake as a technology as well as platform architecture skills is a plus
- Problem solving - & analysis skills, combined with profound business judgement.
- Good documentation & communication skills (active listening, consulting, challenging)
- Intercultural awareness and willingness to travel. Fluent in English, both written & spoken.
The Digital Transformation Unit of Bayer Consumer Health operates a global data & analytics cloud platform, which is the backbone of all data & (advanced) analytics products for Bayer Consumer Health. As Senior Cloud Engineer you are responsible to enable and manage Azure Cloud Services on a globally & scalable distributed data, analytics & AI platform. You will engage with Data Engineers, Data Architects, Data Scientists to derive together with Cloud Architects which Azure Services need to be enabled / adjusted and implement the respective features and/or changes, considering CI/CD and Infrastructure as Code Best Practices.
,[Contribute to platform roadmap together with cloud architects, derive requirements for missing capabilities and participate in Azure service evaluation, Plan, Design and Enable Services on Azure Cloud Platform & Databricks based on derived requirements in line with security guidelines & non-functional requirements like cost efficiency & scalability and documentation guidelines., Engage with the platform operations team and implement and deploy changes, Train the platform operations team to operate the new features that you have built, provide them with the needed documentation, Observe & assess platform compliance and implement solutions to ensure platform operations within compliance guidelines, Engage with technology and implementation partners to overcome issues if required, Engage with central cloud teams, network and security teams, cyber security teams to overcome issues if required and follow company best practices] Requirements: Azure, Degree, Infrastructure as Code, ML, Databricks, VPC, PowerShell, ARM, Bicep, Terraform, GitHub Actions, Data modelling, Snowflake Additionally: Sport subscription, Private healthcare, International projects.-
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