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Senior Engineer – Digital Distribution & Engagement (AWS/Data Engineering)

80 000 - 85 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Engineer – Digital Distribution & Engagement (AWS/Data Engineering): Building and managing large-scale batch and real-time data pipelines and integrations for investment analytics with an accent on AWS cloud-native architecture, Apache Airflow, Snowflake, Python, and SQL performance. Focus on designing reliable data workflows, optimizing pipeline availability under SLAs, and integrating AI-driven tools into analytical platforms.

Location: Charlottetown, Prince Edward Island, Canada. Hybrid workplace model with at least four full days per week in an hirify.global office.

Salary: CAD 80,000–85,000 per year, plus incentive pay.

Company

Global investment management firm providing investment strategies and vehicles to clients worldwide.

What you will do

  • Manage application and data integration platforms using AWS cloud components.
  • Design, build, and maintain robust batch and real-time data pipelines in a cloud-native architecture.
  • Partner with business, product, data, and application stakeholders throughout planning, design, testing, reporting, integration, and rollout.
  • Ensure data availability for business reporting and analytics within established SLAs.
  • Create architecture documentation, data models, and design artifacts.
  • Develop production-grade code and automation, improve pipeline reliability, and support data ingestion, validation, scheduling, and delivery.

Requirements

  • 5–7 years of experience with AWS, including S3, RDS, Lambda, Glue, SNS, and related services.
  • 3–5 years of experience designing, building, and maintaining pipelines with Apache Airflow.
  • Strong knowledge of ETL/ELT patterns, SQL, and query performance optimization.
  • 3–5 years of experience with Snowflake and 3–5 years of experience in data modeling, data warehousing, and large-scale data architecture.
  • Strong Python programming skills for data processing, automation, and pipeline development, plus Git-based source control and CI/CD experience.
  • Bachelor’s degree in computer science, applied mathematics, physics, statistics, data science, data mining, or a related field, or equivalent experience.

Nice to have

  • 1–2 years of experience integrating AI-driven tools or services into data workflows, including AWS AI services, Snowflake Cortex Code, LLM-enabled applications, or analytics platforms.
  • Experience in financial or investment management.
  • Familiarity with Agile methodologies and experience providing informal guidance to new team members.

Culture & Benefits

  • Hybrid working environment with structured office collaboration.
  • RRSP contributions and health and wellness benefits.
  • Work flexibility programs and parental leave benefits.
  • Study support.

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