High-Performance Data Engineer

5 days ago

Sydney, New South Wales, Australia beBeeDataEngineer Full time $120,000 - $160,000
Job Description:

The role of an Analytics Engineer is to design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics needs.

Collaboration with data scientists, analysts, and business stakeholders is key to understanding data requirements and delivering actionable insights.

Creating and maintaining Power BI dashboards, reports, and visualisations to communicate data insights effectively to non-technical stakeholders is a critical responsibility.

Developing and maintaining data models, schemas, and documentation to support data governance and data quality initiatives is essential for this position.

Ongoing optimisation of data processing workflows for performance, scalability, and cost-efficiency is required.

Ensuring compliance with data privacy regulations and maintaining data security standards is also crucial.

Providing technical support and troubleshooting for data-related issues and queries is an ongoing task.

Staying up-to-date with industry trends and best practices in data engineering and analytics is necessary for success in this role.

About the Ideal Candidate:

  • Experience with Azure technology stack, Power BI, and Python is highly valued.
  • A bachelor's degree in Computer Science, Data Science, or a related field is required.
  • Relevant certifications such as Microsoft Certified: Azure Data Engineer are advantageous.
  • Experience with unstructured data and databases such as COSMOS DB or MarkLogic is desired.

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