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1 день назад

Data Engineer (Spark/Scala)

Формат работы
onsite
Тип работы
project
Грейд
middle
Английский
b2
Страна
US
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
Data Engineer (Spark/Scala): Building large-scale cloud data platforms for real-time and batch processing with an accent on Spark, Spark Streaming, Scala, and complex ETL pipelines. Focus on developing scalable data-processing frameworks and improving platform performance, availability, and development quality.

Location: Onsite in Atlanta, GA, United States; must be willing to travel and relocate.

Compensation: Contract rate not specified.

Company

hirify.global provides technology services to clients throughout the United States.

What you will do

  • Build components of a large-scale data platform for real-time and batch processing.
  • Own features of big data applications and adapt them to evolving business needs.
  • Develop cloud-based infrastructure for batch and streaming data applications.
  • Build data pipelines and processing frameworks using Scala, Spark, and Spark Streaming.
  • Develop complex ETL processes and improve performance, scalability, availability, development speed, and quality.

Requirements

  • Master’s degree in Computer Science or Computer Engineering.
  • At least 3 years of experience with the listed data engineering technologies and practices.
  • Experience with Scala, Spark, Spark Streaming, data pipelines, cloud infrastructure, and ETL.
  • Willingness to work onsite in Atlanta, travel, and relocate.

Culture & Benefits

  • Contract engagement supporting client projects across the United States.
  • Work involves large-scale, cloud-based data infrastructure and real-time data applications.

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