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April

Bi Data Engineer

GENESISCARE - Alexandria, NSW

Any Industry
Source: uWorkin

JOB DESCRIPTION

Do your life’s best work!

As a BI Data Engineer at GenesisCare, you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.

The Data Engineer will support our BI developers and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout our platforms

What you’ll do:

  • Work closely with stakeholders and IT development teams to build a highly scalable data platform in Microsoft Azure environment that enables data ingestion, storage, and preparation of massive datasets
  • Design and develop optimal data pipeline architecture for data movement and data orchestration using Azure Data Factory and SSIS
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
  • Build transformation logic in SQL Stored procedures to produce dimensional data model for reporting purposes
  • Develop, implement and maintain Azure Data Lake Storage and Blob Storage
  • Automate the management and deployment of Azure resources using ARM templates, Azure CLI and PowerShell
  • Implement continuous integration and continuous deployment processes using Azure DevOps and Docker containers
  • Develop and maintain scripts using Python to perform automated tasks

Who you are:

Skills

  • Proficient with SQL Azure platform, Microsoft business intelligence suite, Tableau Server
  • Experienced in designing and developing data movement and orchestration pipelines using Azure Data Factory, Azure Data Lake Storage, Azure Blob Storage, Azure SQL and Databricks
  • Manage CI\CD build, release, deploy process with Azure DevOps / Docker containers
  • Automate azure resources using Azure CLI, ARM templates and PowerShell
  • SQL Server (SSMS/SSIS)
  • Excellent working knowledge in writing scripts in Python

Qualifications and Experience

  • 3+ years of experience in a Data Engineer role with a Bachelor or Master data in Computer Science, Computer Engineering or Data Science
  • Experienced in designing and developing and maintaining business intelligence solutions in Azure
  • Worked on Agile methodology with an experience in writing stories, work-breakdown-structure, estimating story points and delivering in sprints
  • Absolute focus on service to users
  • Ability to interact in a professional manner and build relationships with a broad range of people

What’s in it for you:

  • Exposure to new technologies whilst working in a high-performing tech team
  • Supportive environment with encouragement and challenge to live your highest potential both professionally and personally
  • To be part of the exciting digital transformation journey in healthcare
  • ​Flexible working environment


Who we are:

We are 5500+ highly trained healthcare professionals and support staff across Australia, the U.K., Spain, China and the United States, designing innovative treatments and care for people with cancer, heart and sleep disease.

Global care

Across the world, we have more than 440+ centres to help us bring the right care to our patients. For radiation therapy, that includes 14 centres in the UK, 21 in Spain, 36 in Australia and 300 in the U.S. We also offer cardiology and sleep services at more than 80 locations across Australia. Every year our team sees more than 400,000 people globally.

People centricity is at the heart of what we do—whether that person is a patient, a referring doctor, a partner or someone in our team. We aim to build culture of ‘care’ that is patient focused and performance driven. Our people promise is “do your life’s best work, by always growing, having a profound human impact and making great things happen together.” If you’d like to make a difference, join us at GenesisCare.

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