5 дней назад
Data Engineer
125 000 - 170 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (ELT/Data Warehouse): Building and operating multi-source ELT pipelines and enterprise data warehouse infrastructure for massive-scale campaign data with an accent on reliability, performance, cost optimization, and production SLAs. Focus on designing petabyte-scale data systems, automating database operations, and integrating event data with internal business systems for data-driven decisions.
Location: Toronto, Canada (remote)
Salary: $125,000–$170,000 per year, plus potential bonus and benefits
Company
provides content personalization through data-activated content generation and AI decisioning for global brands.
What you will do
- Design, build, test, deploy, and maintain multi-source ELT pipelines while optimizing costs and meeting data SLAs.
- Maintain and extend enterprise data warehouse infrastructure to improve performance and reduce manual work and incidents.
- Aggregate, combine, and curate campaign and event data with internal business systems.
- Collaborate with data platform, product engineering, analytics, and SRE teams to deliver reliable data products and services.
Requirements
- 3+ years of experience as a Data Engineer.
- Hands-on experience with columnar or OLAP databases at petabyte scale.
- Experience operationalizing production data pipelines with monitoring, alerting, SLA dashboards, and runbooks.
- Expertise with ELT tools such as dbt, Airbyte, or Flink and orchestration platforms such as Airflow or Dagster.
- Strong programming experience with Python, Java, or SQL, plus Git, Agile development, CI/CD, and Infrastructure-as-Code tools such as Terraform or CloudFormation.
- Technical understanding of Kimball and medallion data architectures.
Nice to have
- Experience with APIs, Reverse ETL, and data contracts.
- Significant AWS and AWS Managed Services experience, including Redshift, Aurora, Airflow, or Flink.
- Familiarity with Tableau or other data visualization tools.
- Experience managing data lakes with open-source formats such as Iceberg.
Culture & Benefits
- Remote position based in Toronto.
- Medical, financial, and other benefits are provided.
- Inclusive workplace committed to equal employment opportunity and diverse perspectives.
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