Analytics Engineer Leader
5 days ago
Job Overview
">This is an exciting opportunity to join Joint Border Analytics as a key member of our team. As a Software Engineer, you will play a critical role in refining our deployment environments and publishing data science solutions that provide an amazing user experience and an easy path from development to production.
You will work closely with data scientists to help them get the most out of our current on-premise analytical environment, and collaborate with IT Specialists and business analysts to migrate our development and deployment infrastructure to the cloud.
The successful candidate will have significant experience in software engineering, preferably in a business intelligence and analytics context, and experience with developing full-stack web applications, preferably with Python (Django, Shiny) and/or R (Shiny). They will also have experience in DevOps processes, including CI/CD pipelines, containerisation, and Kubernetes deployments.
Key Responsibilities
- Refine deployment environments and publish data science solutions.
- Work closely with data scientists to help them get the most out of our current on-premise analytical environment.
- Collaborate with IT Specialists and business analysts to migrate development and deployment infrastructure to the cloud.
- Develop and maintain high-quality software that meets the needs of our customers.
Requirements
- Significant experience in software engineering, preferably in a business intelligence and analytics context.
- Experience with developing full-stack web applications, preferably with Python (Django, Shiny) and/or R (Shiny).
- Experience in DevOps processes, including CI/CD pipelines, containerisation, and Kubernetes deployments.
- A passion for working with cross-functional product engineering teams to create quality software that hits the mark with our customers.
- The ability to produce clean, consistent and well-organised code, and to help others do the same.
- A background and post-graduate qualification in Computer Science or other data centric profession preferred.
- Good knowledge of databases, scripting, and ETL processes.
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