Senior DataOps Engineer: Cloud Data & Databricks Expert in Toronto

Senior DataOps Engineer: Cloud Data & Databricks Expert in Toronto

Toronto Full-Time 121500 - 148500 $ / year (est.) On-site
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At a Glance

  • Tasks: Build data pipelines and models using Databricks and AWS Glue.
  • Company: Source Code, a leading tech firm in Toronto.
  • Benefits: Competitive salary and opportunities for professional growth.
  • Other info: Onsite role with a collaborative work environment.
  • Why this job: Join a dynamic team and shape the future of data engineering.
  • Qualifications: Expertise in data lakehouses and cloud storage required.

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

Source Code is seeking a Sr.

Data Ops/Cloud Data Engineer in Toronto for onsite work at 5700 Yonge St.

The role focuses on building data pipelines and data models for warehouses and lakehouses using Databricks, AWS Glue, and related tools.

Collaboration across teams will be key.

The position requires expertise with data lakehouses, cloud storage, and multiple formats (CSV/JSON/XLSX).

Compensation aligns with market rates for senior data engineers in Toronto, with a strong emphasis on exceptional

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Senior DataOps Engineer: Cloud Data & Databricks Expert in Toronto employer: Source Code

As a leading employer in the heart of Toronto, we offer a dynamic work environment that fosters collaboration and innovation. Our commitment to employee growth is evident through continuous training opportunities and a supportive culture that values diverse perspectives. Join us to make a meaningful impact while enjoying competitive compensation and the chance to work on significant projects within the Ontario Public Service framework.

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Contact Details:

Source Code Recruitment Team

We think you need these skills to ace Senior DataOps Engineer: Cloud Data & Databricks Expert in Toronto

Data Pipeline Development
Data Modelling
Databricks
AWS Glue
Cloud Storage
Data Lakehouses
CSV Handling