Data Engineer

Ethos BeathChapman

Sydney

Presencial

AUD 90.000 - 130.000

Jornada completa

hace 33 horas
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Descripción de la vacante

Ethos BeathChapman is seeking an experienced Data Engineer in Sydney to drive an AWS data platform. You will build Spark jobs for batch and real-time data processing and work with AI agents to automate tasks.

You’ll collaborate across data analytics and platform engineering teams in a forward-thinking environment. Key qualifications include strong AWS experience, Spark (Scala preferred), and Power BI or similar tools.

Formación

  • Experience with AWS services and data platforms.
  • Spark data processing experience, ideally in Scala.
  • Experience with Power BI or a similar reporting tool.
  • Experience building AI agents to perform data tasks would be beneficial.

Responsabilidades

  • Work on the AWS data platform within a FS company in Sydney.
  • Build Spark jobs for batch and real-time data processing.
  • Collaborate with data analytics and platform engineering teams.

Descripción del empleo

Are you an experienced Data Engineer? Do you have experience with AWS services and Spark?

I'm currenly working on an exciting opportunity for an experienced Data Engineer to join a FS company in Sydney working on their AWS data platform, you'd be working on services like Redshift, S3, Athena, and Glue, as well as building Spark jobs for batch and real-time data processing.

They are very forward thinking when it comes to AI so you would also be building AI agents to automate processes and increase productivity. Due to the nature of the team you will be asked to wear muliple hats and so will sometimes contribute to taks within data reporting, data modelling, platform engineering etc.

What's Required
  • - Strong experience on AWS services
  • - Spark experience for data processing, ideally in Scala
  • - Experience with Power BI or a similar reporting tool
  • - Experience building AI agents to perform data engineering tasks would be beneficial

This role sits within an existing team and will work closely with data analytics and platform engineering teams.

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