Senior AWS Data Engineer
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Role details
Tech stack
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Requirements
Experience in Data Engineering with advanced Python skills.
AWS Platform: Working experience with AWS data technologies, including S3
Data Formats: Experience with JSON, XML and other relevant data formats
Nice to have - HealthCare Interoperability Tools: Previous experience with integration engines such as Intersystems, Lyniate, Redox, Mirth Connect, etc…
CI/CD Tools: experience setting up and managing CI/CD pipelines using GitLab CI, Jenkins, or similar tools
Scripting and automation: experience in scripting language such as Python, PowerShell, etc…
Monitoring and Logging: Familiarity with monitoring & logging tools like CloudWatch, ELK, Dynatrace, Prometheus, etc…
Source Code Management: Expertise with git commands and associated VCS (Gitlab, Github, Gitea or similar)
Documentation: Experience with markdown and in particular Antora for creating technical documentation, * Data Engineering: 8 years (Required)
- Python: 6 years (Required)
- AWS: 5 years (Required)
Benefits & conditions
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
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Prepare application
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