Azure Data Engineer
5 days ago
- Growing, Innovative Public Organisation
- Hybrid/Flexible Work Schedule
About Our Client
A successful Azure Data Engineer should have:
- A degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Proven experience with Azure Data Factory, Azure SQL, Azure Data Lake, Azure Functions.
- Advanced working SQL knowledge and experience working with relational databases, query authoring as well as working familiarity with a variety of databases.
Job Description
- Strong analytical skills related to working with unstructured datasets.
- Strong project management and organisational skills.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with data pipeline and workflow management tools.
- Experience with object-oriented/object function scripting languages: Python.
The Successful Applicant
- Develop and maintain scalable data pipelines and architectures.
- Liaise with stakeholders to assist with data-related technical issues.
- Collaborate with data analysts and data scientists on project goals.
- Ensure architecture will support the requirements of the business.
- Identify, design, and implement process improvements.
- Automate manual processes, optimise data delivery, and re-design infrastructure for greater scalability.
- Work with data and analytics experts to strive for greater functionality in data systems.
- Maintain data security and compliance within the organisation.
What's on Offer
- An industry-leading competitive salary package plus superannuation.
- A permanent position with a secure and reputable public sector employer.
- A collaborative and supportive working environment in the beautiful city of Sydney.
- The opportunity to work on innovative and impactful projects.
- Generous holiday leave provisions.
Click Apply or Email your updated CV to bpatten@michaelpage.com.au to APPLY today
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