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

Apply On Company Site
Back to search page