Senior Data Engineer in Mississauga

Senior Data Engineer in Mississauga

Mississauga Temporary 121500 - 148500 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and manage data pipelines using SQL and Python on cloud platforms.
  • Company: Leading financial services provider with a diverse portfolio.
  • Benefits: Long-term contract, hybrid work model, and competitive compensation.
  • Other info: Collaborative environment with opportunities to work with top industry professionals.
  • Why this job: Join a dynamic team and shape the future of data in finance.
  • Qualifications: 5-8 years of experience in SQL, Python, and cloud data platforms.

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

Iris's Direct client, a highly diversified financial services provider based in Canada is looking to hire a Senior Data Engineer for a Long Term Contract opportunity.

Location: Hybrid - Mississauga (4 days from office)

JOB DESCRIPTION

  • 5-8 years SQL & Python; cloud data platform experience (Snowflake highly preferred)
  • Experience with Stored procedures, task, dbt
  • Data warehouse design, data modelling, workflow orchestration (Airflow or equivalent)
  • Clear communicator; effective cross-functional collaborator, must work effectively with Data Architects, Analysts, and business stakeholders across a large program

Senior Data Engineer in Mississauga employer: Iris Software Inc.

Iris Software is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those passionate about AI testing solutions. Located in the vibrant city of Toronto, we offer our employees opportunities for professional growth through mentorship and hands-on experience with cutting-edge technologies. Join us to be part of a team that values quality, continuous improvement, and the development of your technical skills in a supportive environment.

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Contact Details:

Iris Software Inc. Recruitment Team

We think you need these skills to ace Senior Data Engineer in Mississauga

Python
Data Engineering
Data Governance
Communication Skills
Problem-Solving Skills
Automation
Data Pipeline Development