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Data Engineering Lead, North America: Build Global Pipelines

Mars Food US, LLC

Guelph

On-site

CAD 100,000 - 120,000

Full time

9 days ago

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Job summary

A leading global food company is seeking a Data Engineering Lead in Guelph, Ontario, to oversee North America data initiatives. The role involves leading data pipeline design, ensuring data integrity, and collaborating globally. Ideal candidates should have 5-10 years of experience in data engineering, with proficiency in SQL, Python, and big data technologies. This position offers a competitive salary and benefits, along with opportunities for professional growth within a vibrant, purpose-driven organization.

Benefits

Best-in-class learning and development support
Industry competitive salary and benefits
Company bonus

Qualifications

  • 5-10 years of experience in data engineering, preferably in CPG or Retail.
  • Strong expertise in data pipeline development and integration.
  • Experience with big data technologies and cloud data systems.

Responsibilities

  • Lead the design and optimization of data pipelines across North America.
  • Ensure data integrity and high performance for business insights.
  • Collaborate with global teams to align data initiatives.

Skills

Data pipeline development
Data integration
ETL processes
SQL
Python
Apache Spark
Cloud-based data systems
Collaboration with global teams
DevOps principles

Education

Bachelor’s degree in Computer Science or related field
Master’s degree in related field

Tools

Microsoft Azure
Job description
A leading global food company is seeking a Data Engineering Lead in Guelph, Ontario, to oversee North America data initiatives. The role involves leading data pipeline design, ensuring data integrity, and collaborating globally. Ideal candidates should have 5-10 years of experience in data engineering, with proficiency in SQL, Python, and big data technologies. This position offers a competitive salary and benefits, along with opportunities for professional growth within a vibrant, purpose-driven organization.
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