Data Engineering
vor 1 Monat
Role: Azure Data Engineer Location: Canberra Security Clearance: Active AGSVA Baseline
We are seeking candidates with strong experience in developing Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) processes, and/or the development of data products and complex data visualisations.
The role will be responsible for design, development and unit testing activities across several data movement, data transformation, and data visualisation processes within DAFF.
The data movement and transformation processes focus on the preparation of data for use in decision-making processes across the department, utilising modern cloud technology (Azure) to enable operational analytics use cases.
The successful candidate will require experience with the following techniques and technologies:
Data Integration: MS Azure Stack, Data Factory, SQL Server Integration Services and/or Databricks, LogicApp and/or FunctionApp Data Store: SQL Server and/or Data Lake Storage, Unity Catalog (Medallion Architecture) Analytics: Azure Databricks, Azure Machine Learning, ArcGIS Enterprise Development tools: DevOps, Visual Studio, VS Code Data technology solutions: sourcing (Flat file, Ingres, Azure, SQL Server), collecting, ingesting and storing SQL, Python, R, .Net Data Preparation: Transformation of data into formats tailored to analytics use cases – Parquet and/or Delta Data Visualisation: Analyse and interpret complex data sets, and identify trends and patterns. Design principles: Create appropriate visualisations for target audience using Visualisation tools - Power BI Does this role sound like something which you would be interested in discussing further?
Then feel free to give me a buzz on or flick your resume at .
Green Light is one of Australia's most successful and fastest growing IT services businesses.
We offer a wide range of IT services in Security, Infrastructure, and Systems Integration to a diverse customer base throughout Australia, New Zealand, SE Asia, and Europe.
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