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Data Engineer

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Our client is seeking a dedicated and enthusiastic Data Engineer to join their dynamic team. This role offers the opportunity to design and implement efficient data pipelines using Azure Databricks and Synapse Analytics, develop and maintain SQL queries for data transformation and cleansing, and work with cloud storage solutions like Azure Blob Storage for data ingestion and processing.

Our client is seeking a dedicated and enthusiastic Data Engineer to join their dynamic team. This role offers the opportunity to design and implement efficient data pipelines using Azure Databricks and Synapse Analytics, develop and maintain SQL queries for data transformation and cleansing, and work with cloud storage solutions like Azure Blob Storage for data ingestion and processing. The successful candidate will also have the chance to collaborate with data analysts and business stakeholders to understand data needs.

  • Opportunity to work with industry-standard tools and technologies
  • Chance to contribute to best practices for data governance and quality control
  • Collaborative environment with a focus on understanding data needs


What you'll do:

As a Data Engineer, you'll play a key role in designing, developing, and maintaining data pipelines using Azure Databricks and Synapse Analytics. You'll be responsible for developing SQL queries for data transformation and cleansing, as well as designing integration solutions using industry-standard tools. Your role will also involve configuring APIs for data exchange, writing clean code for integration logic, working with cloud storage solutions, implementing best practices for data governance, and collaborating with various stakeholders to understand their data needs.

  • Designing and implementing efficient data pipelines using Azure Databricks and Synapse Analytics
  • Developing and maintaining SQL queries for data transformation and cleansing
  • Designing and developing integration solutions using industry-standard tools and technologies
  • Configuring and managing APIs for data exchange
  • Writing clean and maintainable code for integration logic
  • Working with cloud storage solutions like Azure Blob Storage for data ingestion and processing
  • Implementing best practices for data governance and quality control
  • Collaborating with data analysts and business stakeholders to understand data needs


What you bring:

The ideal candidate will bring at least five years of experience in Data Engineering or Integration Engineering, along with proven experience with Azure Databricks or Azure Synapse Analytics. She will have strong skills in designing efficient data pipelines, developing SQL queries for data transformation and cleansing, and using industry-standard tools for designing integration solutions. She will also be adept at configuring APIs for data exchange, writing clean code for integration logic, working with cloud storage solutions, and implementing best practices for data governance.

  • At least 5 years of experience in Data Engineering or Integration Engineering
  • Proven experience with Azure Databricks or Azure Synapse Analytics
  • Strong skills in designing and implementing efficient data pipelines
  • Experience in developing SQL queries for data transformation and cleansing
  • Knowledge of industry-standard tools and technologies for designing integration solutions
  • Ability to configure APIs for data exchange
  • Experience in writing clean code for integration logic
  • Familiarity with cloud storage solutions like Azure Blob Storage
  • Understanding of best practices for data governance and quality control

What's next:

If you're ready to take your career to the next level in an exciting and dynamic role, don't hesitate!

Apply today by clicking on the link!

Contract Type: TEMPORARY

Specialism: Information Technology

Focus: Databases

Industry: Mining

Salary: Negotiable

Workplace Type: Hybrid

Experience Level: Mid Management

Location: Perth

Job Reference: 1984130/001

Date posted: 5 July 2024

Consultant: Sean Larkworthy

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