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Software Engineer in Data (Senior)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b1
Страна
Indonesia
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
Software Engineer in Data (Senior) (Java/Python/Node): Building high-quality software products for mission-critical data-focused systems with an accent on data platforms, cloud services, and reliable software engineering practices. Focus on translating detailed specifications into production software, integrating data pipelines and warehouses, and solving technically challenging problems with international and Indonesian teams.

Location: Jakarta, Indonesia

Company

hirify.global brings together international and Indonesian teams to develop high-quality software products.

What you will do

  • Work with international and Indonesian teams to understand requirements and translate them into high-quality software products.
  • Translate detailed designs and specifications into reliable software with minimal rework.
  • Help deliver mission-critical products and solve technically challenging engineering problems.
  • Apply software engineering practices including object-oriented design and data structures.
  • Collaborate with mentors and team leads to deliver projects with strong ownership and timely results.

Requirements

  • 3+ years of software engineering experience at the senior level.
  • Strong coding skills in at least one of Java, Python, or JavaScript/Node.js.
  • Familiarity with version control using Git and basic Linux operations.
  • Ability to produce high-quality software from specifications with minimal rework.
  • Good communication skills and moderate English proficiency.
  • Ability to work effectively with mentors and team leads on international teams.

Nice to have

  • Experience in a startup, fintech, or banking environment.
  • Familiarity with GCP or AWS cloud services.
  • Experience with Cloud Dataflow, Apache Beam, DBT, or Apache Airflow.
  • Knowledge of machine learning algorithms and Machine Learning as a Service.
  • Experience with data platforms, ETL ingestion, data lakes, data warehouses, big data processing, or BI visualization tools.

Culture & Benefits

  • Collaboration with international and Indonesian teams.
  • Mentorship from team leads and experienced engineers.
  • Opportunity to demonstrate practical skills through experience or a portfolio.

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