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Data Engineer (Informatica/AWS)
Data Engineer (Informatica/AWS)Sun Life • Toronto, Ontario
Data Engineer (Informatica / AWS)

Data Engineer (Informatica / AWS)

Sun Life • Toronto, Ontario
5 days ago
Job type
  • Full-time
Job description

Job Description

We're looking for a motivated, early-career professional to join our dynamic Data Engineering team. This is an excellent opportunity to grow your skills while working with cutting-edge cloud technologies, building data integration solutions for BI reporting, analytics, MDM, and application integration using Informatica IDMC and AWS-based platforms.

What You'll Do?

  • Design, build, and deploy data integration pipelines in our AWS / Informatica Cloud environment
  • Develop and maintain data applications and reusable frameworks under the guidance of senior team members
  • Participate in all phases of the development lifecycle - from design through implementation
  • Translate business requirements into technical solutions using modern, cloud-based technologies
  • Collaborate with cross-functional teams to deliver high-quality data solutions
  • Contribute to agile development practices and continuous improvement initiatives
  • Learn and grow through hands-on experience with enterprise-scale data systems

What You Need to Succeed?

Required :

  • 2-5 years of experience developing data solutions using ETL tools (Prefer Informatica ETL Tool) or data integration platforms
  • Strong SQL skills - comfortable writing queries and working with relational databases
  • Experience creating data transformations and working with data pipelines
  • Understanding of data modeling concepts and data structures
  • Analytical mindset with problem-solving abilities
  • Eagerness to learn new technologies and grow your technical expertise
  • Strong collaboration skills and willingness to work in a team environment
  • Ability to work effectively in an Agile / SDLC environment
  • Nice to Have Skills (We'll Help You Develop These!) :

  • Experience with Informatica Power Center , IDMC , or similar ETL platforms
  • Exposure to MDM solutions (matching, merging, data quality, cleansing, profiling)
  • Experience with AWS cloud services, AWS Glue, Step Functions, Lambda Functions
  • Experience or knowledge with Agentic AI and Agentic AI frameworks I.E OpenAI Agents SDK , CrewAI, LangChain, LangGraph, MCP , RAG, Vecto r Databases, ML, DL.
  • Knowledge of production change management processes
  • Understanding of data warehouse design principles
  • Experience or knowledge of CI / CD pipelines and DevOps practices for data engineering workflows
  • Experience or knowledge of Jenkins for automated build and deployment processes
  • Familiarity with version control systems such as GitHub or Bitbucket for collaborative development
  • Experience or knowledge of NoSQL technologies or platforms such as MongoDB, DynamoDB, DocumentDB
  • Experience working with various data formats and storage technologies including AWS S3, Parquet, Avro, JSON, CSV, ORC, and XML for data ingestion, transformation, and storage
  • What Makes This Role Great for Early-Career Professionals

    Mentorship & Growth : Work alongside experienced data engineers who are committed to helping you develop your skills

    Modern Technology Stack : Gain hands-on experience with industry-leading tools (Informatica IDMC, AWS)

    Diverse Initiatives : Exposure to various data challenges including analytics, MDM, and enterprise integrations

    Career Development : Clear path for advancement as you build expertise

    Collaborative Environment : Multi-site, global team with opportunities to learn from diverse perspectives

    What’s in it for you?

  • Canada Order of Excellence for Mental Health at Work® certification from Excellence Canada. Sun Life is one of only four companies in Canada to ever receive this certification – 2024
  • Top Work Places® for Remote Work – Monster Canada - 2024
  • Great Place to Work® Certified for Most Trusted Executive Team in Canada – 2024 and 2023
  • Great Place to Work® Certified for Best Workplaces in Canada – 2024 and 2022
  • Great Place to Work® Certified for Best Workplaces for Women in Canada - 2024
  • Great Place to Work® Certified for Best Workplaces in Ontario - 2023
  • Great Place to Work® Certified in Canada in Financial Services and Insurance – 2023
  • Flexible hybrid work model.
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    Data Engineer InformaticaAWS • Toronto, Ontario

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