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обновлено 10 дней назад

Data Engineer (Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
c1
Страна
Indonesia
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 Engineer (Python): Building and maintaining scalable ETL/ELT pipelines and large-scale data processing systems with an accent on data architecture, transformation, and data quality. Focus on managing dbt workflows, implementing observability, and negotiating data contracts between development and analytics teams.

Location: Malang Office, hybrid

Company

hirify.global is a presentation design company specializing in high-impact PowerPoint presentations and operating in a diverse, inclusive, multinational environment.

What you will do

  • Build and maintain reliable ETL/ELT data pipelines.
  • Design and maintain large-scale data processing systems that can scale with growing data volumes.
  • Collaborate with Software Engineering on data architecture planning.
  • Implement data quality and observability practices.
  • Negotiate and manage data contracts between Development and Analytics teams.

Requirements

  • 3+ years of experience in Data Engineering.
  • Strong Python and SQL skills.
  • Experience with Apache Airflow and dbt for data transformation.
  • Proven ability to manage data contracts between Development and Analytics teams.
  • Problem-solving ability, a proactive mindset, and strong data empathy.
  • Fluent English communication is required.

Culture & Benefits

  • Flexible hybrid working model with an international team and casual office environment.
  • Competitive salary with additional incentives.
  • Health coverage including BPJS and private insurance.
  • Professional training, career progression paths, and personal growth programs.
  • Psychological counseling, annual leave that increases with tenure, situational leave, and experience programs.
  • Company-provided working devices.

Hiring process

  • Initial application screening followed by a technical test evaluating automation skills.
  • Psychological and English tests, HR interview, and user interview.
  • Final interview with the user team.

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