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Data Engineer at Pyramid Global Technologies – NSW | Jobyssey

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Data Engineer

Data Engineer

Pyramid Global Technologies · NSW, NSW, Australia · 1 month ago

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Category: Data engineering
Company size: 501-1000

analytics data-mining data-pipelines data-quality hadoop kafka machine-learning mlops nosql pyspark python sas scala sql

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Data engineering jobs Remote Data engineering jobs Jobs in Australia Data engineering jobs in Australia

Builds and maintains data pipelines, feature repositories, and ML model deployments using Python, SQL, PySpark, and MLOps tools to support data science teams in production environments.

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