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3 дня назад

Data Engineer (Gaming)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Engineer (AWS/Airflow/Spark): Building and maintaining scalable batch ETL and near-real-time data pipelines and architectures for machine learning, data science, and high-volume business data with an accent on data quality, API integrations, and cloud data services. Focus on designing scalable infrastructure, processing millions of daily changes, integrating relational and NoSQL systems, and supporting data scientists, MLOps engineers, product owners, and BI analysts.

Location: Remote, EMEA; core working hours are 10am–3pm in the local time zone.

Company

hirify.global is a remote-first company developing data-driven products for a rapidly growing gaming business.

What you will do

  • Design, develop, test, optimize, and maintain scalable batch ETL and near-real-time data pipelines.
  • Build data architectures that process fast, versatile data sources with millions of changes per day.
  • Ensure data quality, accuracy, and consistency across business systems.
  • Improve internal data delivery processes and redesign infrastructure for scalability.
  • Build API integrations to support increasing data volume and complexity.
  • Collaborate with data scientists, MLOps engineers, product owners, and BI analysts on product features and system architecture.

Requirements

  • Bachelor’s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related technical field.
  • 3+ years of experience in data engineering, data platforms, BI, or a related domain.
  • Experience implementing data warehouses, operational data stores, and data integration projects.
  • Experience with large-scale production relational and NoSQL databases, data modeling, and event-driven architectures.
  • Proficiency in SQL and familiarity with a scripting language, preferably Python.
  • Experience with Apache Airflow, Apache Spark, and AWS services including S3, Athena, EC2, Redshift, EMR, EKS, RDS, and Lambda.

Nice to have

  • Understanding of machine learning models.
  • Knowledge of Docker and Kubernetes.
  • Gaming industry experience.

Culture & Benefits

  • Remote-first work environment with flexibility outside core hours.
  • 28 days of paid annual leave.
  • Quarterly individual performance-based bonuses, referral bonuses, and flash bonuses.
  • Top-of-the-line equipment.
  • Annual company retreats focused on internal networking.

Hiring process

  • Remote video screening with the Talent Acquisition Team.
  • Offline take-home assignment.
  • 90-minute remote video interview with team members.

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