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Senior Data Engineer at Sun Life

Skills

analyticsawscloudcloud nativedata engineeringdata governancedata pipelinespythonsnowflakesqlPythonAWSSQL

Description

Become a pivotal part of the data transformation at Sun Life as a Senior Data Engineer. This hybrid role focuses on architecting enterprise data solutions using Snowflake and cloud-native technologies in downtown Toronto.

With 7-8 years of asset management experience, you will drive the data platform strategy while mentoring junior engineers. This role will focus on building secure and scalable data architectures and solutions, enabling self-serve analytics and enhancing robust data governance across multiple portfolios. Your expertise in Snowflake, along with your proficiency in Python and cloud technologies, will play an integral role in influencing architectural decisions.

Key Responsibilities:

  • • Design and implement end-to-end data solutions
  • • Build scalable data pipelines and data lakes
  • • Collaborate with technical leads on engineering strategies
  • • Champion data governance and quality practices
  • • Mentor junior engineers in data engineering principles

Requirements:

  • • 7-8 years experience in asset management
  • • Proficient in Snowflake and cloud platforms
  • • Strong programming skills in Python and SQL
  • • Experience with AWS services and data integrations
  • • Bachelor's or master's in computer science or equivalent
  • Support cutting-edge data initiatives and lead team collaboration at Sun Life.

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