Data Engineer for Cloud Data Integration

6 days ago


New York, New York, United States SoftLabs Full time
About the Role

SoftLabs is seeking a skilled Data Engineer to join their technology consulting team in Canberra. The ideal candidate will have strong experience in developing ETL and ELT processes, as well as the development of data products and complex data visualizations.

Responsibilities

The Data Engineer will be responsible for designing, developing, and unit testing activities across several data movement, data transformation, and data visualization processes within DAFF. The focus will be on preparing data for use in decision-making processes across the department, utilizing modern cloud technology (Azure) to enable operational analytics use cases.

The successful candidate will require experience with techniques and technologies such as MS Azure Stack, Data Factory, SQL Server Integration Services, and/or Databricks, Logic App, and/or Function App, Data Store, SQL Server, and/or Data Lake Storage, Unity Catalog, Analytics, Azure Databricks, Azure Machine Learning, ArcGIS Enterprise, Development tools, DevOps, Visual Studio, VS Code, Data technology solutions sourcing, collecting, ingesting, and storing, SQL, Python, R,.NET, Data Preparation, Transformation of data into formats tailored to analytics use cases, Parquet, and/or Delta, and Data visualisation.

Essential Criteria
  1. Demonstrated experience developing ETL/ELT processes for complex and/or large data movement, transformation, and/or visualisations, particularly in a cloud environment.
  2. Experience preparing data optimized for query performance in cloud-computed engines, e.g. Distributed computing engines (Spark), Azure SQL, Python, R.
  3. Experience working with Engineering Storage and Analytics services in cloud infrastructure.
  4. Experience working collaboratively in an agile development team.
What We Offer

As a Data Engineer at SoftLabs, you will have the opportunity to work on challenging projects, collaborate with a talented team, and develop your skills in cloud data integration and analytics.

If you are interested in this position, please click Apply with your resume in WORD and send your details for review. If you wish to have a confidential discussion, call us on or for more information.



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