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Senior Data Engineer - Databricks, MS Stack

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  • Data migration project from MS-Stack to Azure Databricks
  • Data Engineering & Architecture
  • Rolling contract position

Our Client

This role offers an exciting opportunity to be part of a new chapter for their data journey. You will work alongside various functions to develop the data platform by understanding core system data structures, data processing architecture, and designing data pipelines. Your expertise in data engineering technologies, data pipeline development, design, data modelling and analysis will be crucial in this role.


What you'll do:

  • Designing and developing Data engineering assets.
  • Developing scalable feature engineering frameworks, evaluating feature importance and managing productionisation of data features.
  • Coding, testing, and documenting new or modified data models and ETL tools to create robust and scalable data assets for reporting and analytics.
  • Expanding and growing data platform capabilities to solve new data problems and challenges by identifying, sourcing and integrating new data.
  • Implementing solutions that adhere to architecture best practices.


What you bring:

  • Expertise in cloud data analytics technologies: Databricks, Azure ADF.
  • Proficiency in MS Stack: Microsoft SQL Server, SSIS, SSRS, SSAS and Power BI and SQL.
  • Experience in MongoDB, Graph databases.
  • Programming languages: R, Python, SQL VStudio.
  • CI/tools : Jenkins, Bamboo or similar tools
  • GitHub, Jira and Confluence.

What's next:

If you're ready to take your career to the next level with an exciting opportunity, don't hesitate!

Apply today by clicking on the link!

Aboriginal and Torres Strait Islander Peoples are encouraged to apply.
To apply please click apply or call Christina Tran on 02 8289 3127 for a confidential discussion.

Contract Type: TEMPORARY

Specialism: Information Technology

Focus: Databases

Industry: IT

Salary: super

Workplace Type: Hybrid

Experience Level: Mid Management

Location: Sydney

Job Reference: 2002210/001

Date posted: 4 September 2024

Consultant: Christina Tran

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