Hybrid Senior Data Engineer

Posted last week

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About the role

  • Design, develop, maintain and continuously improve a large and complex data repository that provides accurate and reliable data to support campaigns and reporting in support of digital channels.
  • Deepen the organizations understanding of client and member level data and provide expert guidance on how best to leverage data to provide actionable business insight.
  • Build data assets as required for best use of client data for automated digital marketing activity.
  • Manage and execute on business data requests ensuring requests are aligned to business priorities and the request fulfillment meets the business needs.
  • Collaborates in an agile team to understand business objectives and develop campaign solutions that deliver best in class, engaging and highly relevant experiences.
  • Provide expert guidance on developing the structure and processes to build a Big Data repository (includes basic ETL type processes, QA etc.).
  • Become one of the organizations top data experts and CXO Analytics data steward ensuring data is appropriately interpreted and applied to business problems.
  • Develop a solid understanding the Sun Life Financial Canada’s business.
  • Serve as a leading data expert and analytics steward, ensuring accurate data interpretation and application.
  • Architect and maintain a sophisticated data ecosystem to support digital campaigns and reporting.

Requirements

  • 3-5 years hands-on experience working on AWS technologies for data processing and analytics.
  • 3-5 years experience with Git, Bitbucket, Jenkins, Terraform, S3, Lambda, Step Functions.
  • 3-5 years experience in Python, PySpark and SQL.
  • 5 years hands-on experience with relational database systems, relational models, dimensional models etc.
  • Sound understanding of data management principles (data warehousing, data quality, master data management, etc.).
  • Excellent communication skills (both written and oral), combined with strong interpersonal skills - have the ability to explain complexity of data to a business audience.
  • Demonstrated experience in database querying and reporting and developing campaign lists for direct marketing campaigns.
  • Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent.

Benefits

  • Flex hours and work from home options.
  • Pension, stock and savings programs to help build and enhance your future financial security.
  • Work and professional development that is united by our Purpose: to help Clients and Employees achieve lifetime financial security and live healthier lives.
  • A friendly, collaborative and inclusive culture.
  • Be part of our continuous improvement journey in developing the next greatest digital enterprise experience.
  • Competitive salary and bonus structure influenced by market range data.
  • The opportunity to move along a variety of career paths with amazing networking potential.

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

CA$80,000 - CA$128,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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