Senior Cloud Data Engineer

2 weeks ago

Sydney, New South Wales, Australia beBeeDataEngineering Full time $120,000 - $140,000

Unlock the Power of Data Engineering

About the Role

We are seeking an experienced data engineer to join our team and play a key role in designing, building, and implementing our next-generation data platform. As a data engineer, you will be responsible for architecting, developing, and maintaining scalable and robust data pipelines and ETL/ELT processes for our new cloud data platform.

Your Responsibilities
  • Design & Build: Develop and maintain scalable and robust data pipelines and ETL/ELT processes for our new cloud data platform to collect, process, and store data from multiple sources.
  • Drive Migration: Play a pivotal role in the strategic planning and hands-on execution of migrating data from on-premises sources (SQL Server and source systems) to the cloud Snowflake with a Fabric front end.
  • Optimise Performance: Monitor, troubleshoot, and optimise data pipelines to ensure data quality, reliability, and performance.
  • Collaborate & Innovate: Work closely with technology and business stakeholders to understand their needs and deliver high-quality data solutions.
  • Ensure Best Practices: Implement and advocate for data engineering best practices in data modelling, data governance, and security.
  • Document & Report: Create and maintain comprehensive documentation for data pipelines, system architecture, and processes.

You will also be instrumental in designing, building, and maintaining the College's data infrastructure and architecture, ensuring the quality, integrity, and availability of information to support our strategic analytics and operational objectives.

Your Skills & Experience

To be successful in this role, you will require:

  • Bachelor's degree in computer science, data engineering, information technology, or related field (or equivalent experience).
  • Proven experience as a data engineer with a strong focus on cloud data solutions.
  • Hands-on experience with Snowflake or Microsoft Fabric is essential.
  • Demonstrated success in migrating data from on-premises databases to a cloud data warehouse.
  • Proficiency in Power BI, SQL, and a scripting language like Python.
  • Solid understanding of ETL/ELT principles and experience with data integration tools.
  • Familiarity with major cloud platforms such as Azure, AWS, or GCP.
  • Knowledge of data governance, data security, and compliance best practices.
  • Strong understanding of cloud cost management to ensure that our data solutions remain both scalable and cost-efficient.

This is an excellent opportunity to develop your skills and expertise as a data engineer and contribute to the development of our next-generation data platform.

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