As an AWS Data Platform Engineer you are a key member of the
data engineering teams in various AWS data oriented projects at customers.
You are no stranger to DevOps and MLOps and enjoy collaborating with data and AI-specialists building solutions with a sound architectural design.
Requirements
- Experience with Kubernetes, Terraform and CI/CD delivering data architecture and infrastructure.
- Programming in Python (or other high level programming language) comes naturally.
- Your have designed solutions on top of AWS Cloud, which has no secrets for you.
- A collaborative mindset where any solution is built through alignment with your stakeholders.
- Apply best practices for observability. You might even have a favourite observability stack.
- Have worked with or designed ETL architecture consisting of AWS Glue, EMR, Hadoop, Apache Spark or other.
- Have worked with and administered databases such as PostgreSQL, Cassandra, MongoDB, Redis MySQL
- MLOps workflow design in collaboration with Data Science engineers to deliver production grade model capabilities. Experience with Sagemaker and other DAG workflow orchestrators.
- Experience with designing both Batch as well as Stream data processing architectures.
- Have designed and implemented event driven architecture on AWS.
- No stranger to DevOps methodologies and tooling to facilitate autonomy.
- Fluent in Dutch and/or French and English
Devoteam
Devoteam is a leading digital strategy consulting firm in Europe focused on digital strategy, technology platforms, cybersecurity, and business transformation through technology
The expert team dedicated to AWS business
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