Назад
Company hidden
1 день назад

Data Engineer

Формат работы
remote
Тип работы
fulltime
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Data Engineer (Cloud Data): Designing and optimizing data pipelines and warehousing solutions with an accent on ETL/ELT workflows, cloud data stacks, and scalable processing. Focus on building reliable architectures with Python, SQL, and Spark, integrating data platforms, and collaborating with Data Science and Product teams.

Location: Remote from LATAM

Company

hirify.global connects technical talent with staff augmentation and product development projects for companies across North America and other global markets.

What you will do

  • Design, build, and optimize ETL/ELT workflows and data pipelines.
  • Develop data solutions using Python, SQL, and Spark.
  • Work with cloud data stacks across AWS, Azure, or GCP.
  • Design and maintain data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Synapse.
  • Collaborate with Data Science and Product teams on data requirements and delivery.

Requirements

  • Experience with ETL/ELT workflows and data pipeline design or optimization.
  • Proficiency in Python, SQL, and Spark.
  • Experience with AWS, Azure, or GCP data services.
  • Strong software engineering fundamentals.
  • Excellent English and remote communication skills.
  • Availability to work remotely from LATAM.

Culture & Benefits

  • 100% remote work with global teams and prominent brands.
  • Compensation in US Dollars.
  • Hardware setup for working from home.
  • Training allowances.
  • Paid personal time off for vacation, study leave, and personal needs.
  • People-first culture.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →