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9 дней назад

Senior Data Engineer (AI)

Формат работы
onsite
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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Описание вакансии

Текст:
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TL;DR
Senior Data Engineer (AI/Big Data): Building and optimizing scalable data pipeline architecture for advertising and machine learning initiatives with an accent on Spark, Kafka, EMR, and large-scale data processing. Focus on designing ETL infrastructure, improving data delivery and scalability, and supporting cross-functional teams with production ML and data systems.

Location: Toronto, Ontario, Canada

Company

hirify.global is an advertising technology platform that provides programmatic solutions, premium ad formats, audience targeting, and data-driven monetization for publishers and brands.

What you will do

  • Create and maintain scalable data pipeline architecture.
  • Explore and assemble large, complex datasets for functional and non-functional business requirements.
  • Automate manual processes and improve data delivery, infrastructure scalability, and system efficiency.
  • Build extraction, transformation, and loading infrastructure using Spark, EMR, Kafka, and other big data technologies.
  • Collaborate with product managers, software engineers, analysts, and data scientists to support data infrastructure and resolve technical issues.

Requirements

  • Bachelor’s degree in Computer Science, a related technical field, or equivalent professional experience.
  • At least 5 years of professional software engineering experience focused on production data and ML processes at scale.
  • Experience optimizing large-scale big data and ML pipelines, including Spark and Kafka.
  • Knowledge of ML and AI operations and processes.
  • Understanding of database technologies such as OpenSearch, Druid, ClickHouse, and InfluxDB, plus experience with cross-functional data modeling.
  • Strong SQL skills and expertise in Python, Scala, or Java.

Nice to have

  • Experience with MLflow, Feast, Ray, or other AI training technologies.
  • Experience with containerization, Kubernetes, and Argo CD.

Culture & Benefits

  • Collaborative, positive, and supportive work environment.
  • Focus on continuous innovation, curiosity, inclusion, and professional development.
  • People, culture, and community initiatives designed to support belonging and meaningful cross-team connections.

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