Azure Data Engineer: Lakehouse & AI Platform Expert in Melbourne

Azure Data Engineer: Lakehouse & AI Platform Expert in Melbourne

Melbourne Full-Time 63000 - 77000 $ / year (est.) On-site
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At a Glance

  • Tasks: Design and optimise cloud data platforms using Azure for scalable analytics and AI solutions.
  • Company: Join NTT DATA, a leader in innovative tech solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Make an impact by enabling data-driven decisions for enterprise clients.
  • Qualifications: Experience in data engineering and proficiency with Azure and Fabric.

The predicted salary is between 63000 - 77000 $ per year.

NTT DATA in Australia is seeking an experienced Data Engineer to design, build and optimize cloud data platforms using Azure and Fabric, enabling scalable analytics and AI solutions for enterprise clients. You will collaborate with enterprise customers to develop robust data pipelines, data models and lakehouse solutions that drive data-driven decisions.

You will develop data pipelines, models and governance across cloud and on‐prem environments, working with architects, analysts and data.

Azure Data Engineer: Lakehouse & AI Platform Expert in Melbourne employer: NTT Limited

NTT DATA is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration. With a focus on employee growth, you will have access to ongoing training and development opportunities while working in a supportive environment that values your contributions. Located in a vibrant area, this role not only provides meaningful work supporting Federal Government clients but also fosters a sense of purpose and community among its team members.

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Contact Details:

NTT Limited Recruitment Team

We think you need these skills to ace Azure Data Engineer: Lakehouse & AI Platform Expert in Melbourne

Python
Data Engineering
SQL
Problem-Solving Skills
Communication Skills
Data Pipeline Development
API Integration