We are seeking an experienced Data Science Platform & DevOps Engineer to support data-oriented applications, cloud platforms, CI/CD, infrastructure automation, and production operations. The ideal candidate will have strong Python development skills along with hands-on experience in GitHub, CI/CD, Infrastructure as Code, cloud services, automated testing, deployment, monitoring, and production support.
Required Skills & Qualifications:
- 5+ years of experience in software engineering, data engineering, data science platforms, or DevOps delivery.
- Strong hands-on Python development experience, including data-oriented applications, APIs, packages, testing frameworks, and dependency management.
- Hands-on experience with GitHub and GitHub Actions.
- Strong experience building and managing CI/CD pipelines, pull-request controls, and release automation.
- Experience with AWS CDK, Terraform, CloudFormation, or comparable Infrastructure-as-Code tools.
- Experience integrating analytics applications with:
- Cloud storage
- Databases
- Query services
- Semantic layers
- Reporting tools
- Experience with automated testing, deployment validation, environment management, monitoring, and production support.
- Strong troubleshooting and problem-solving skills.
- Excellent technical documentation, communication, and stakeholder collaboration skills.
Preferred Candidate Profile:
- Strong combination of Python + DevOps + Data Engineering/Data Science Platform experience.
- Hands-on production experience with cloud infrastructure and automation.
- Experience supporting analytics/data applications through development, deployment, and production.
- Ability to troubleshoot issues across application, infrastructure, and deployment layers.