обновлено 5 дней назад
Senior Engineer Digital Distribution (AWS/Data Engineering)
70 000 - 75 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineer Digital Distribution (AWS/Data Engineering): Building and managing large-scale batch and real-time data pipelines and integration platforms for client information, with an accent on AWS cloud architecture, data availability, and analytics enablement. Focus on designing complex data architectures, automating deployments, optimizing queries, and supporting reliable reporting within SLA requirements.
Location: Charlottetown, Prince Edward Island, Canada; hybrid with at least four full days per week in an office
Salary: CAD 70,000–75,000 per year, plus incentive pay
Company
is a global independent investment firm providing investment management strategies and vehicles to clients worldwide.
What you will do
- Manage application and data integration platforms using AWS cloud components.
- Build and maintain robust batch and real-time data pipelines using modern data engineering practices.
- Lead the planning, design, development, testing, reporting, integration, and rollout of data projects under Agile standards.
- Ensure data availability and enablement for business reporting and analytics within SLA requirements.
- Create and maintain data, application, and technology architecture documentation and design artifacts.
- Partner with business owners, product owners, data analysts, and developers to define technical requirements for data ingestion, verification, and scheduling.
Requirements
- 5–7 years of experience in data modeling, data warehousing, and big data architectures.
- 5–7 years of experience with AWS services including S3, RDS, Lambda, Glue, SNS, and Terraform.
- 5–7 years of experience building data pipelines with Apache Airflow and Airbyte.
- Strong ETL/ELT, SQL, query optimization, database, and programming experience with Python, Linux/bash scripting, and Ansible.
- 3–5 years of experience with Snowflake and experience with PostgreSQL, Aurora, and Athena databases.
- Bachelor’s degree in computer science, applied mathematics, physics, statistics, data science, data mining, or a related field, or relevant experience.
Nice to have
- Experience with Snowflake Cortex AI and LLM prompt engineering.
- Experience with GitHub, Bitbucket, or another code repository solution.
- Knowledge of automated code deployments and CI/CD.
Culture & Benefits
- Hybrid working environment with an office-focused workplace model.
- RRSP contributions and health and wellness benefits.
- Work flexibility programs and parental leave benefits.
- Study support.
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