Data Infrastructure Architect
3 days ago
We are seeking a talented Senior Data Engineer to help architect, build and scale data infrastructure that powers our analytics and machine learning capability.
This is a permanent role with a competitive salary on offer of $120,000 - $180,000 per annum in QLD.
About the RoleThe successful candidate will have strong experience with Azure Stack and Power BI. They will work collaboratively in a team of high performing and analytical data experts and other business stakeholders.
Responsibilities- Develop and maintain efficient, scalable data pipelines to extract, transform, and load (ETL) data from diverse sources into our data systems.
- Lead the deployment and optimization of cloud-based data infrastructure on platforms like Azure, utilizing big data technologies such as Spark, Kafka, and Hadoop.
- Continuously monitor and optimize data pipelines, ensuring high performance, reliability, and scalability for large datasets.
- Implement data quality checks, validation processes, and governance practices to ensure the accuracy and integrity of our data.
To be successful in this role, you will need:
- 7+ years of experience in data engineering, with a strong background in designing and building data pipelines, data models, and cloud-based data infrastructure.
- End-to-end Power BI experience.
- A strong understanding of data architecture, data modelling, and best practices in designing scalable data systems.
- The ability to troubleshoot complex data issues, optimize performance, and ensure high availability and reliability of data pipelines.
We are Experis, a well-renowned organization dedicated to delivering innovative solutions in data engineering. We foster a collaborative environment where our team members can grow and excel.
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