Title: Data Engineer

Location: Sydney / WFH

Salary: 140k - 170k + Super

Talenza has partnered with a real estate data analytics and technology company.

The Company

Although new to the Australian market this company has hit the ground running looking to double their headcount in 6 months. They model and produce highly refined real estate datasets into visual reports and detailed individual property profiles for their customers. If you are looking to join a team of elite seasoned data experts, computer researchers, and software engineers to develop an array of advanced suite of data-driven products then apply now!

Roles Responsibilities

  • End-to-end deployment
  • Create high performance and scalable big data systems
  • Build pipelines for machine learning models
  • Write code and libraries
  • Build infrastructure for ETL of data using AWS big data technologies

Your Experience

  • Extensive Python development experience
  • Experience with large scale data platforms (Spark, Presto, Hive, S3, HDFS, etc.)
  • Experience with developing high performance systems which leverage multi-cores and/or multi-hosts
  • Understanding of computation speed optimization techniques at algorithm, architecture, and implementation level
  • Knowledge of machine learning (ML) / deep learning (DL) based classification models

Full working rights required

If you are interested in finding out more, please apply now!


Senior Data Engineer

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