Job description
We are currently seeking an experienced Data Engineer for a contract engagement with a leading consultancy, supporting a high-profile data migration project.
Key Responsibilities:
- Identify, triage, and resolve defects across data engineering workflows
- Optimise PySpark code and ETL pipelines to support large-scale data migration
- Collaborate closely with developers, testers, and business stakeholders to ensure stability and performance across data pipelines
- Utilise Control-M for scheduling and automation of data workflows
- Support ongoing troubleshooting and enhancement of Azure Synapse Analytics solutions
Technical Requirements:
- Advanced proficiency in PySpark, Azure Synapse Analytics, Control-M, and data pipeline development
- Strong SQL skills and a solid understanding of data warehousing and cloud-based data architectures
- Demonstrated experience in large-scale data migrations
- Previous banking industry experience is highly desirable
To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Dean Khan on + 612 9464 5515 or email [email protected] and quote the above job reference number.
Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.
