Chief Data Architect

18 hours ago

Hobart, Tasmania, Australia beBeeDataEngineering Full time $123,444 - $144,368

Data Engineer Opportunity

We are seeking an experienced Data Engineer to join our team. As a key member of our organization, you will play a pivotal role in enabling our data-driven operations.

Your responsibilities will include designing and maintaining robust data ingestion pipelines, managing secure and efficient data transfers into our systems, and ensuring timely and accurate delivery of data to support core business functions.

The Role Details
  • Provide ongoing support for data infrastructure, including the cloud platform, data lake, data marts, and dashboards.
  • Monitor data platform performance and recommend infrastructure enhancements to maintain optimal benchmarks.
  • Design and implement ETL pipelines using CI/CD methodologies.
  • Contribute to the development and deployment of solution designs and big data platform strategies across all environments.
  • Communicate technical updates and project priorities to leadership.
  • Investigate and resolve data-related incidents promptly.
About the Ideal Candidate

The ideal candidate is a motivated and technically capable Data Engineer who is eager to grow and contribute to our evolving data landscape.

You'll bring hands-on experience with data pipelines, cloud platforms, and ETL processes, along with a solid understanding of data infrastructure and performance monitoring.

  • Tertiary qualifications in a quantitative discipline such as Statistics, Mathematics, Information Technology, or a related field.
  • Significant experience in data management across cloud platforms, data lakes, warehousing, analytics, and business intelligence.
  • Proficient with BI and analytics tools such as Databricks, SQL Server, Power BI, R, and Python.
  • Solid understanding of data warehousing, big data architecture, data streaming, and virtualization.
  • Hands-on experience with cloud platforms like AWS, Azure, or GCP.
  • Strong development skills in Python and SQL.
  • Experience working within Agile delivery environments.
  • Strong analytical and problem-solving skills, with the ability to resolve complex stakeholder queries.

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