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10 дней назад

Big Data Engineer (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Английский
b2
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
Big Data Engineer (AI): Designing and maintaining scalable big data pipelines and distributed data systems to support the training of next-generation AI models with an accent on data integration, processing, quality, and governance. Focus on optimizing Python-based data solutions, distributed databases, and processing frameworks while ensuring high availability, reliability, and security.

Location: Remote

Company

hirify.global is an IT consulting company.

What you will do

  • Design, build, and maintain scalable big data pipelines and architectures.
  • Implement data integration, transformation, and processing solutions using Python and big data technologies.
  • Develop, manage, and optimize distributed databases and storage systems.
  • Monitor, troubleshoot, and improve data systems for high availability and performance.
  • Apply data quality, security, and governance standards across data solutions.
  • Collaborate with cross-functional stakeholders, document solutions, and communicate technical concepts clearly.

Requirements

  • Proven experience building and maintaining large-scale data pipelines.
  • Advanced Python proficiency for data processing, automation, and integration.
  • Strong knowledge of relational and NoSQL databases, data modeling, ETL, and data warehousing.
  • Experience with distributed processing frameworks such as Hadoop, Spark, or Flink.
  • Strong written and verbal communication skills.
  • Self-motivated, detail-oriented, and comfortable working autonomously in a remote environment.

Nice to have

  • Experience in fast-paced or startup-like environments supporting global teams.
  • Expertise with cloud-based big data platforms such as AWS, GCP, or Azure.
  • Familiarity with machine learning operations and data science workflows.

Culture & Benefits

  • Contractor engagement.
  • Remote and autonomous work environment.
  • Work contributing to the training of next-generation AI systems.

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