Senior Informatica Cloud Data Engineer in Winnipeg

Senior Informatica Cloud Data Engineer in Winnipeg

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

  • Tasks: Design and develop data migration solutions using Informatica Cloud.
  • Company: Join MPA Recruitment, a leader in data engineering.
  • Benefits: Competitive salary, flexible work options, and growth opportunities.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Be part of transformative ERP modernization projects with real impact.
  • Qualifications: Experience in data engineering, SQL Server, and Snowflake required.

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

MPA Recruitment seeks a Senior Data Engineer to design, develop, and deploy Informatica Cloud data migration and integration solutions.

You will leverage SQL Server and Snowflake to support large-scale data conversion, validation, reconciliation, and modernization initiatives.

The role emphasizes strong stakeholder communication, data modeling, and hands-on data migration activities within a complex ERP modernization program.

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Senior Informatica Cloud Data Engineer in Winnipeg employer: Mpa Recruitment

At MPA, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Toronto. Our commitment to employee growth is evident through mentorship opportunities and a focus on technical leadership, ensuring that our team members thrive in their careers while navigating the exciting challenges of the capital markets. With competitive compensation, comprehensive benefits, and a hybrid work model, we provide a supportive environment where talented individuals can make a meaningful impact in the financial services sector.

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Contact Details:

Mpa Recruitment Recruitment Team

We think you need these skills to ace Senior Informatica Cloud Data Engineer in Winnipeg

Python
Data Engineering
SQL
Communication Skills
ETL/ELT Processes
Data Pipeline Development
Data Governance