обновлено 5 дней назад
Senior Engineer – Digital Distribution & Engagement (AWS/Data Engineering)
80 000 - 85 000CAD
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Описание вакансии
Текст:
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 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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