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Data Science Engineer
2 months ago
Coles Group is seeking a highly skilled Data Science Engineer to join our team. As a key member of our Advanced Analytics and Artificial Intelligence teams, you will work closely with stakeholders to cultivate relationships and drive business growth through digital transformation and optimization solutions.
Key Responsibilities- Design, build, and maintain cloud infrastructure at large scale and high complexity.
- Troubleshoot and solve complex technical issues at the infrastructure layer.
- Develop and maintain code for custom infrastructure services, primarily in Python.
- Design, review, and present technical infrastructure solutions to solve business use cases.
- Document and showcase technical features or fixes.
- Administer configuration of all software services into various different environments.
- Evaluate all HA elements in all platforms and manage automate desktop and server designs.
- Supervise all application packing processes and maintain optimal quality for all applications.
- DevOps professional with a proven track record (4+ years) in Cloud and DevOps engineering and 8+ years in total.
- Strong cloud skills (preferably with Microsoft Azure).
- Strong DevOps skills (preferably with Microsoft Azure DevOps).
- Skills in infrastructure design.
- Some Linux/bash skills required.
- Ability to operate in a resourceful and independent manner.
- Documentation skills.
- Experience with technical products - Terraform, Ansible, Python, Docker Kubernetes, Databricks, Artifactory.
- Productivity applications - Git, Jira, Confluence.
- Bachelor degree in Computer Science, Artificial Intelligence, Machine Learning, Econometrics, Applied Statistics, Physics, Engineering or related field.
- Business and commercial acumen.
If you are a motivated and experienced professional looking to take on new challenges, we encourage you to apply for this exciting opportunity. Please note that this role is a full-time position and requires a strong commitment to delivering high-quality results.
