Hybrid Staff Data Engineer & Architect – Lakehouse Lead in Oshawa

Hybrid Staff Data Engineer & Architect – Lakehouse Lead in Oshawa

Oshawa Full-Time 121500 - 148500 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead the design and implementation of scalable data pipelines for top-notch data products.
  • Company: Cpus Engineering Staffing Solutions Inc. based in Oshawa.
  • Benefits: Hybrid work model with 3 days remote, competitive salary, and growth opportunities.
  • Other info: Perfect for those looking to make an impact in a fast-paced environment.
  • Why this job: Join a dynamic team and shape the future of data architecture.
  • Qualifications: 6-8 years of experience in data modeling and cloud technologies.

The predicted salary is between 121500 - 148500 $ per year.

Cpus Engineering Staffing Solutions Inc. is seeking a Staff Data Engineer/Data Architect in Oshawa.

You will lead the architecture, design, and implementation of scalable data pipelines to deliver top-notch data products.

The position requires extensive knowledge in data modeling and cloud technologies, with 6 to 8 years of relevant experience.

This role is hybrid, allowing for 3 days of remote work.

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Hybrid Staff Data Engineer & Architect – Lakehouse Lead in Oshawa employer: Cpus Engineering Staffing Solutions Inc.

Join a dynamic and innovative company that prioritizes employee growth and collaboration in a supportive hybrid work environment. As a Senior Manager in Engineering, you will not only lead a skilled team but also have access to ongoing professional development opportunities and a culture that values open communication and teamwork. Located in Ontario, this role offers the chance to make a meaningful impact on powerline safety initiatives while working alongside dedicated professionals committed to excellence in the electrical engineering field.

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Contact Details:

Cpus Engineering Staffing Solutions Inc. Recruitment Team

We think you need these skills to ace Hybrid Staff Data Engineer & Architect – Lakehouse Lead in Oshawa

Data Engineering
Data Architecture
Data Pipeline Design
Data Modeling
Cloud Technologies
Scalability
Implementation Skills