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 to APPLY today!!!
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