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1 день назад

Software Engineer in Data (Senior)

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 and data platforms for mission-critical fintech products with an accent on software engineering practices, data processing, and cloud services. Focus on translating detailed specifications into reliable software, designing ETL and data warehousing solutions, and solving technically challenging problems with distributed international teams.

Location: Jakarta, Indonesia

Company

hirify.global develops fintech products and software solutions for Indonesian and international users.

What you will do

  • Translate product and technical requirements into high-quality software products.
  • Collaborate with Indonesian and international teams, mentors, and team leads to deliver projects.
  • Build software using Java, Python, or JavaScript/Node.
  • Apply object-oriented design, data structures, version control, and Linux operations.
  • Develop and support data platforms involving ETL ingestion, data lakes, data warehouses, and big data processing.
  • Solve technically challenging problems while maintaining quality, timeliness, and ownership of assigned work.

Requirements

  • 3+ years of software engineering experience at the senior level.
  • Strong coding skills in at least one of Java, Python, or JavaScript/Node.
  • Ability to translate detailed designs and specifications into high-quality software with minimal rework.
  • Understanding of object-oriented design and data structures.
  • Familiarity with Git and basic Linux operations.
  • Moderate English proficiency and strong communication skills.

Nice to have

  • Experience in a startup, fintech, or banking environment.
  • Experience with GCP or AWS.
  • Knowledge of Cloud Dataflow, Apache Beam, DBT, or Apache Airflow.
  • Familiarity with machine learning algorithms, MLaaS, and data platform technologies such as BigQuery, Redshift, Snowflake, Hadoop, Flink, or Spark.
  • Experience with BI visualization tools such as Redash, Looker, or Tableau.

Culture & Benefits

  • Full-time employment.
  • Collaboration with Indonesian and international teams.
  • Mentorship and cooperation with team leads.
  • Demonstrable skills, experience, or a relevant portfolio are valued alongside formal education.

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