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Cloud Native Data Platform Architect
3 weeks ago
About the Role:
We are seeking an experienced AWS Platform Engineer to lead the design and evolution of our cloud-native data platform.
This is a unique opportunity to take ownership of building and scaling a modern data platform that delivers critical insights for fast and accurate vehicle diagnostics and repairs.
The ideal candidate will have a strong focus on AWS services, data modeling, and ETL best practices, as well as experience with event-driven architectures, scalable cloud-native data pipelines, and observability tools.
Responsibilities:
- Design and evolve a cloud-native data platform using AWS services
- Build and scale event-driven ETL pipelines to process large datasets from diverse sources
- Orientate AWS resources for performance, cost-efficiency, and security
- Lead migrations from on-premises to AWS-based data platforms
- Implement DevOps practices such as CI/CD pipelines, test automation, and infrastructure as code (Terraform)
Requirements:
- AWS
- Security
- CI/CD Pipelines
- Infrastructure as Code
- AWS S3
- AWS Lambda
- Amazon RDS
- Python
- Message queue
- Data pipelines
- Datadog
- Terraform
- SQL
- ETL
- DevOps
- Test automation
- Glue
- IAM
- Data modeling
- SFTP
- .NET
- Testing
Benefits:
- Remote work
- Sport subscription
- Private healthcare
- International projects
- Free coffee
- Bike parking
- Shower
- Free parking
- No dress code