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9 часов назад

Manager, Data Engineering

135 600 - 204 380$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Manager, Data Engineering: Leading a team of software and data engineers in the design and implementation of platforms, services, and ETL pipelines for the hirify.global Data Lake with an accent on cloud application development, big data technologies, and driving ETL processes to production. Focus on coordinating with cross-functional teams, leveraging Python & Golang with AWS technologies, and deploying best practices for data management.

Location: Hybrid, Burnaby, BC, Canada

Salary: $135,600 – $204,380 USD plus bonus

Company

hirify.global provides cloud-first networking and security solutions, protecting 70% of the Fortune 500.

What you will do

  • Lead and mentor a team of software/data engineers, assisting with daily activities like code development, review, and deployment.
  • Coordinate with developers, analysts, data scientists, and product managers to gather requirements, plan, implement, and deploy solutions.
  • Lead the development of cloud-based applications leveraging Python & Golang in conjunction with AWS technologies.
  • Build and deliver robust ETL pipelines and Kubernetes applications for big-data curation and refinement in a production environment.
  • Identify process improvement opportunities by creating metrics and monitoring services to track efficiency.
  • Deploy best practices for storing, managing, and serving data through team efforts.
  • Manage hiring, performance, and career growth of engineers.

Requirements

  • Minimum 10 years of industry experience in Data Engineering with 4+ years experience in managing teams.
  • Proficiency in Python, Golang, Scala, or Java.
  • Expertise in Bigdata technologies including MapReduce, Spark, Kafka, In-memory Database, HIVE, HBase, and Hadoop.
  • Experience with platform services like Kubernetes and developing solutions in AWS.
  • Demonstrated leadership capability with effective management and coaching.
  • Master’s degree in CS, CE, or other technical field such as math or physics.
  • Experience identifying and implementing AI-driven solutions.

Culture & Benefits

  • Comprehensive health coverage, generous PTO, and flexible work options.
  • Learning opportunities, career-mobility programs, and leadership workshops.
  • Sixteen paid volunteer hours each year, global employee resource groups, and a “No Jerks” policy.
  • Modern offices with EV charging, healthy snacks, hackathons, and culture celebrations.
  • Charitable Giving Program supported by Company Match.
  • Recognized as a Glassdoor Best Places to Work 2025 and Great Place to Work-Certified.

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