Job description
My client, one of the true data leaders in their industry, is seeking to add 3 Data Engineers to their highly regarded and high-performing data team.
The team is regarded as an industry leader, and rightly so. They were early adopters of Azure Synapse and are one of Databricks’ premier technology partners. All this means you will have the opportunity to work on one of Australia’s most advanced Azure Data ecosystems, and what is regarded as one of Australia’s largest data warehouses.
What You’ll Do
The team is regarded as an industry leader, and rightly so. They were early adopters of Azure Synapse and are one of Databricks’ premier technology partners. All this means you will have the opportunity to work on one of Australia’s most advanced Azure Data ecosystems, and what is regarded as one of Australia’s largest data warehouses.
What You’ll Do
- Develop and maintain data pipelines within Azure Data Factory, Synapse Warehouse and Databricks Lakehouse.
- Partner with business stakeholders to ensure your deliverables are meeting their requirements.
- Engineering data solutions in accordance with DevOps and CI/CD principles
- Developing and maintaining data engineering best practice
- Assisting with Solution Design to meet business and technical requirements.
- Strong experience on Azure Cloud, ideally with Synapse, Data Factory and Databricks
- Strong understanding of and practical experience engineering Data Pipelines using Python
- An understanding of Azure DevOps, GitHub or other Code Management or deployment tools, as well as working according to CI/CD and DevOps principles
- Advanced Stakeholder management and engagement skills