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Open nowFirst seen 43 hours ago

Data Engineer

Pyramid Global Technologies651 open roles

Where
NSW, NSW, Australia
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Your applicationOpen nowData EngineerPyramid Global Technologies · NSW, NSW, Australia

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Pyramid Global Technologies's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 43 hours ago

The posting

  • Technical expertise with data models, data mining, and segmentation techniques. Previous experience as a data engineer or in a similar role.
  • Experience with deploying machine learning models to production environment. Experience with object-oriented/object function scripting using Python
  • Experience with relational SQL and NoSQL databases
  • Ability to interact and communicate with the data scientists to understand their data needs.
  • Experience with MLOps Architectures and Tools
  • PySpark, Scala, Hadoop, Kafka, SAS (Ideal to have)
  • Degree in Computer Science, IT, or similar field
  • Receiving handover of the existing Feature Repository from Region and establishing a framework and environment where it can be run locally onshore.
  • Validating, Deploying and maintaining existing feature repository so it can be leveraged by machine learning models.
  • Working with the data scientists in the team to understand what features they would like to include in their ML models.
  • Data mining and discovery to create the new features which can be leveraged by the data scientists in their ML models.
  • Deployment of any new models built by the data scientists into the production environment.
  • Maintaining the data quality, reliability and accuracy of any features deployed into production on an ongoing basis.
  • Help setup data tools and data pipelines for analytics and data scientist team members that assist them in model development
  • Work with reporting team to understand the requirement from reporting perspective and accordingly maintain and enhance data layer
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