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Sun Life

Data Engineer

Sun Life

. Design, develop, and maintain scalable data pipelines using AWS Glue, Kafka, and Step Functions .

Posted 10/16/2026full-timeWaterloo • CanadaMid-LevelSenior💰 CA$85,000 - CA$128,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and optimizing ETL processes using AWS Glue, SSIS, and Informatica, while ensuring data quality and compliance. Proficient in SQL and Python, with strong leadership skills to mentor teams and collaborate across functions.

Highest-signal resume keywords
ETL Design And DevelopmentAWS GlueSQL ProgrammingData Warehousing ConceptsBilingualism (French And English)

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
ETL ProcessesData ModelingPython ProgrammingSQLData WarehousingInformaticaTalendSSISKafkaData Formats
Soft Skills
Problem-SolvingAnalytical SkillsCommunicationLeadership
Tools & Technologies
AWS Step FunctionsAWS ServicesData PipelinesData Quality ToolsData Compliance Tools
Certifications & Qualifications
Bachelor’s Degree In Computer ScienceReliability Status Clearance
Industry Keywords
Data EngineeringData Sourcing Best PracticesBusiness IntelligenceAnalytics InitiativesStream Processing

Tech Stack

Tools & technologies
AWSETLInformaticaKafkaPythonSQLSSIS

About the role

Key responsibilities & impact
  • Design, develop, and maintain scalable data pipelines using AWS Glue, Kafka, and Step Functions
  • Implement and optimize ETL processes using SSIS, Informatica, or Talend
  • Guide and mentor Data Engineers on ETL development and data sourcing best practices
  • Create and maintain data models for business intelligence and analytics initiatives
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions
  • Ensure data quality, security, and compliance with industry standards and regulations
  • Troubleshoot data-related issues and implement solutions
  • Stay current with emerging data engineering technologies and best practices

Requirements

What you’ll need
  • Bachelor’s degree in computer science, Information Technology, or related field
  • 5-10 years of experience in ETL design, modeling, and development
  • Strong proficiency in SQL and Python programming
  • Experience with AWS services, particularly Glue, Step Functions, and other data-related services
  • Expertise in data warehousing concepts and methodologies
  • Proficiency in ETL tools such as Informatica, Talend, or SSIS
  • Experience with various database systems and data formats
  • Familiarity with Kafka and stream processing concepts
  • Excellent problem-solving and analytical skills
  • Strong communication and leadership abilities
  • Reliability Status Clearance required before starting employment
  • Bilingualism (French and English, oral and written) required for Quebec locations

Benefits

Comp & perks
  • Comprehensive benefits package
  • Participation in various incentive plans
  • Opportunities for professional growth and development
  • Flexible work arrangements
  • Work-life balance
  • Chance to work on impactful projects that drive business success
  • Hybrid work with flexibility to work from the office and virtually
  • Disability accommodation in the application process