Data Engineer

4 weeks ago

Melbourne, Victoria, Australia Swinburne University of Technology Full time
About the Role

In this exciting opportunity, you will play a crucial role in enhancing and supporting Swinburne University's data platform, collaborating with the Data Engineering team to deliver impactful solutions.

Your primary responsibilities will include the development and maintenance of data pipelines, ensuring code quality, and adhering to best practices for data ingestion, integration, and consumption. You will prioritize security, data governance, and DevOps principles in your work.

You will be instrumental in implementing data solutions, driving continuous improvements on the platform, and ensuring the efficient functioning of data workflows. Your expertise in AWS cloud technologies will be vital as you align data and analytics solutions with the university's strategic objectives.

About You

To be suitable for this role, you will need to have experience in the following key areas:

  • Expert-level skills in data engineering technologies, including SQL, APIs, Apache Spark, and Python.
  • Proficiency in cloud data architectures and Big Data Analytics in the AWS Stack.
  • Solid hands-on experience with advanced SQL techniques on cloud data warehouse technologies.
  • Expertise in data lake ingestion tools, such as Fivetran, Matillion, or Informatica.
  • Experience implementing a DataOps framework and CI/CD processes.
  • Ability to lead projects, guide junior engineers, and mentor others.
Qualifications

We are seeking a highly skilled and experienced professional with a postgraduate degree in Computer Science or a related field, or an equivalent combination of experience and education. Relevant certifications, such as AWS Certification, are also highly valued.

This is an exciting opportunity to join a dynamic team and contribute to the success of Swinburne University of Technology. If you are a motivated and experienced data professional, we encourage you to apply.

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