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5 дней назад

Software Engineer Intern

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Software Engineer Intern: Researching and building new data engineering solutions and software applications that extend hirify.global’s measurement products with an accent on Big-Data processing and analytics at scale. Focus on building large-scale batch and streaming pipelines using Cloud and big data technologies on the Google Cloud Platform.

Location: Hybrid: 3 days per week (Tues-Thurs) NYCHQ

Company

hirify.global is the leading independent provider of marketing measurement software, data, and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms.

What you will do

  • Research, conceive, and build a new data engineering solution.
  • Build software and data-intensive applications that contribute to and extend hirify.global’s suite of Social Viewability and Brandsuitability measurement products.
  • Build large-scale batch and streaming pipelines using Cloud and big data technologies on the Google Cloud Platform.
  • Work in multi-functional agile teams with end-to-end responsibility for product development and delivery.
  • Improve data quality through testing, tooling, and automation.
  • Help maintain and support mission-critical services.

Requirements

  • You are pursuing B.Sc./M.Sc. in Computer Science or a related field.
  • You are passionate about Data and are a creative problem solver.
  • You have a deep understanding of data structures and algorithms, and experience writing code in C++, Java, Scala, or Python.
  • You have a good knowledge of SQL and RDMS.
  • Experience and Knowledge of Distributed Systems is a plus.

Culture & Benefits

  • Work with hirify.global’s versatile Engineering and product teams on mission-critical systems.
  • Solve/address complex challenges with Big-Data processing and analytics at scale.

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