Senior Data and Integration Specialist
Macquarie University (Sydney, Australia) Wallumattagal Campus, North Ryde
Dates
- Opening Date: 26-Sep-2024
- Closing Date: 29-Sep-2024
Location
- Wallumattagal Campus, North Ryde
Salary
- Salary package negotiable for the right candidate, with a guide range between $119,056 and $132,475 (HEW Level 8), plus 17% employer superannuation contribution and annual leave loading.
Responsibilities
- Configure and customise connectors, workflows, and APIs within MuleSoft, Airflow, and Kafka to meet business needs.
- Develop, test, and maintain APIs for seamless data exchange between systems like Snowflake, focusing on MuleSoft, Airflow, Appflow, and Kafka for integration.
- Use Apache Airflow and Snowflake (preferred) to build scalable, reliable data pipelines, including using DBT to transform data in the Snowflake warehouse.
- Provide ongoing support for integration platforms such as Airflow and MuleSoft (CloudHub and Flex Gateway), including monitoring, troubleshooting, enhancing features, and optimizing performance.
- Work with cross-functional IT support teams to resolve incidents and troubleshoot system issues.
- Provide day-to-day support for business users, troubleshooting issues, and delivering timely solutions.
- Monitor and optimize the performance of integration solutions, ensuring scalability and high availability.
- Collaborate with stakeholders to gather and translate business needs into technical specifications.
- Stay updated on the latest features and best practices for MuleSoft, Airflow, Appflow, and Kafka, and recommend system enhancements.
- Design and develop integration solutions for the Student 360 project, including APIs, batch processing, and event-driven services.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
- At least 6 years of total experience in integration development, with at least 1 year of specific expertise in MuleSoft (Cloud Hub and Flex Gateway) and 2 years+ experience in using four or more of the following: Apache Airflow, FastAPI, Kafka, Kubernetes, container technology, AWS Appflow, and CI/CD.
- Proficient in Python and SQL.
- Strong understanding of integration patterns such as batch processing, event-driven, API, Pub/Sub, along with knowledge of the advantages and limitations of different technologies in various contexts.
- Solid understanding of Data Warehouse and Data Engineering technologies, including DBT and Snowflake.
- Familiarity with the Salesforce platform and AWS services.
- Excellent problem-solving and analytical abilities. Strong communication and collaboration capabilities.
- Experience with CI/CD pipelines using Git.
- Relevant certifications in MuleSoft, Airflow, Snowflake, and AWS are preferred.
Benefits
- 17% employer superannuation contribution
- Annual leave loading
- Hybrid working arrangement
- Flexible work options
Notes
- This position requires a criminal record check and working rights in Australia.
- Enquiries: Kate Durie, Senior Project Officer via kate.durie@mq.edu.au.