Senior Data Engineer at Sun Life Financial transforming data and analytics capabilities. Collaborating with teams to design and maintain data ecosystems and support strategic business insights.
Responsibilities
Design, develop, and maintain a sophisticated data ecosystem that provides accurate, reliable data to support digital campaigns, reporting, and actionable business insights
Build and optimize data assets and ETL processes
Partner with business stakeholders to understand evolving needs, translate requirements into data solutions, and ensure alignment with strategic priorities
Serve as a leading data expert and analytics steward
Requirements
5+ years hands-on experience with relational database systems, relational models, and dimensional modeling
3–5 years hands-on experience with AWS (S3, Lambda, Step Functions), Git/Bitbucket, Jenkins, Terraform, Python, PySpark, SQL, Snowflake, and Snowspark
Proficiency in data warehousing, data quality management, and master data governance practices
Strong written and verbal communication skills; ability to translate technical concepts for business audiences
Education: Undergraduate degree in Computer Science, Mathematics, Engineering, or equivalent
Benefits
A diverse workforce with wide perspectives and creative ideas
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