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5 дней назад

Senior Data Platform Developer (AI Platform)

116 200 - 155 000$
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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Описание вакансии

Текст:
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TL;DR
Senior Data Platform Developer (AI Platform): Building and maintaining Google Cloud big data infrastructure for Geotab’s internal data lake with an accent on data ingestion, stream processing, telematics enrichment, and platform reliability. Focus on designing scalable batch and streaming architectures, supporting data scientists and internal integrations, and implementing monitoring and alerting for production systems.

Location: Oakville, Ontario, Canada; other locations include Atlanta and Toronto. Flexible hybrid work model with in-person and virtual work supported.

Annual base salary: $116,200–$155,000 USD.

Company

hirify.global develops IoT, connected transportation, fleet analytics, and vehicle data solutions for commercial transportation.

What you will do

  • Develop and maintain data infrastructure platforms for ingestion, processing, and stream processing within the internal data lake.
  • Build scalable processes to enrich big data with telematics data.
  • Implement logging, monitoring, and alerting to maintain infrastructure health.
  • Work with data scientists to translate data processing needs into infrastructure solutions.
  • Document architecture, requirements, and process flows.
  • Support internal teams with data integration and participate in a rotating 24x7 on-call schedule when applicable.

Requirements

  • Post-secondary degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
  • 1–5 years of experience in data engineering or a similar role.
  • 1–5 years of experience developing production systems with Java and Spring.
  • 1–3 years of experience designing, building, and maintaining containerized production applications using Docker, Kubernetes, or OpenShift.
  • Knowledge of data management, data storage, batch and streaming architectures, API design, and Big Data environments such as Google BigQuery.
  • Strong communication, analytical, organizational, problem-solving, and collaboration skills.

Nice to have

  • Knowledge of Apache Kafka, Apache Flink, Apache Ignite, Apache Airflow, Apache SuperSet, Apache Olingo, or DataHub.
  • Knowledge of gRPC, Protobuf, Apache Avro, or Apache Beam.
  • Entrepreneurial mindset and comfort working in a flat organization.

Culture & Benefits

  • Flexible hybrid work model with cloud-based collaboration tools and asynchronous working.
  • Home office reimbursement and reliable home internet support requirements.
  • Medical and dental benefits, retirement savings program, and parental leave top-up.
  • Online learning and networking opportunities.
  • Electric vehicle purchase incentive program and work-life balance initiatives.
  • Benefits are available to full-time permanent employees.

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