Big Data Cloud Architect Aws Brussels Leuven Remote - Sure IT Recruitment
Beschrijving
Big Data Cloud Architect AWS Brussels Leuven Remote Working Belgium
650 Euros Per Day - 12 months+
Our customer is currently creating a new big data platform in AWS.
On top of the platform, they are building a platform that focuses on supporting data science and other technical computing workflows.
The consultant will participate in this effort, as a valuable team player, to analyse, design, and implement the platform in close collaboration with data scientists.
Responsibilities
- As a platform engineer for data science, you are responsible for engineering a well architected data science platform with particular emphasis in interactive computing and highly automated model life cycle management based on MLOps
- Main considerations for the design include security, maintainability, flexibility, userfriendliness, and integration between components on the platform
- Work closely with data scientists to understand their functional needs and translate them in an actual solution
- Rapidly iterate over the solution based on frequent feedback from data scientists
- Due to how the platform is used in the group, you are also responsible for documenting guidelines for future platform operators
Skills and requirements
- Good working knowledge of cloud computing in general, and AWS specifically (AWS IAM, EC2, S3, VPC)
- Decent Cloud experience (doesn t matter which Cloud, as long as it is one of the bigthree (GCP, Azure or AWS) and InfrastructureasCode experience is also valuable)
- Other AWS services such as Cognito, Lambda, CloudWatch, ECR, Athena, etc.
- Basic understanding of AWS products related to machine learning (AWS SageMaker, MLFlow)
- Experience with InfrastructureasCode (IAC) tools such as Terraform, Pulumi, AWS CloudFormation, etc.
- Kubernetes/Helm
- Good knowledge of user management (authentication and authorization) with AWS products and OSS solutions
- Good grasp of big data ecosystem and tooling especially Apache Spark and related technologies
- Good verbal and written communication skill in English
- Willingness to work in close collaboration with data scientists and other engineers from different teams
- An ability to work in a highly dynamic environment
- A cando attitude to cope with nontechnical constraints
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