What we do
This role supports the development of a new portfolio management application. The successful candidate will contribute to both software and data engineering requirements.
Key Accountabilities:
1. Contribute to the design and engineering of end-to-end production-ready project solutions, including analysis and selection of platforms and tools for different parts of Data science and analytics projects.
2. Assist with creation and deployment of pipelines, models, and solution architecture designs.
3. Contribute to data governance and data-related decisions (tools, sources, quality).
4. Contribute to software development, platform practices, and tools.
5. Assist in collecting, designing, and using standards for best data engineering practices.
6. Assist in scoping, pinpointing blockers, and niches.
Essential Skills and Knowledge:
* Relevant tertiary qualification
* Experience with Azure cloud platforms, including SQL Database and App Services for data storage, processing, and web hosting
* Proficiency in Python programming and Javascript
* Python Flask and Vuejs knowledge preferred
* Experience in Data Engineering with Databricks Platform
* Knowledge and experience in designing and implementing ETL processes to extract, transform, and load data into cloud data storage systems
* Knowledge of CI/CD pipelines, version control systems (e.g., Git), and configuration management tools (e.g., Ansible, Chef, Puppet)
* Strong problem-solving skills to optimize performance and implement scalable cloud solutions
* Experience with querying and manipulating data in relational and NoSQL databases
* Proficiency in Git for version control and collaboration within Agile methodologies, using tools like Atlassian and Azure DevOps
Benefits:
* Salary sacrificing
* Employee Assistance Program (EAP)
* Corporate discounts