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2 месяца назад

Data Infrastructure Engineer Intern

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Colombia
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 Infrastructure Engineer Intern (Data Engineering): Assist in maintaining and improving data warehousing systems with an accent on monitoring data pipelines, identifying issues, and troubleshooting basic problems. Focus on automating repetitive daily manual processes, reducing operational overhead and improving team efficiency.

Location: Remote (Colombia)

Company

hirify.global is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible.

What you will do

  • Assist in maintaining and improving data warehousing systems (AWS DMS, Redshift).
  • Support the team in monitoring data pipelines, identifying issues, and troubleshooting basic problems.
  • Write and optimize SQL queries for analytics and data validation.
  • Collaborate with engineers and analysts to understand data needs and support use cases.
  • Participate in testing, documentation, and improving reliability of data systems.
  • Identify and automate repetitive daily manual processes, reducing operational overhead and improving team efficiency.

Requirements

  • Currently pursuing (or recently completed) a degree in Computer Science, Data Engineering, or a related technical field.
  • Basic understanding of relational databases (MySQL, Postgres, relational concepts) and no sql databases.
  • Familiarity with at least one programming language (Python, Go, or similar).
  • Interest in data infrastructure, distributed systems, or backend engineering.
  • Strong problem-solving skills and willingness to learn.
  • Ability to work in a collaborative team environment.

Nice to have

  • Exposure to cloud platforms (AWS preferred).
  • Basic understanding of data pipelines or ETL concepts.
  • Awareness of data warehousing concepts.
  • Interest in big data or streaming technologies (Kafka, Kinesis Streams, Flink etc.)

Culture & Benefits

  • Surrounded by brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators.
  • A culture that is the visible example living in every employee that we hire.

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