Назад
Company hidden
13 часов назад

Senior Data Engineer (Databricks)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Vietnam
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Senior Data Engineer (Databricks): Develop end-to-end data pipelines and support visualizations in Power BI or Databricks SQL with an accent on lakehouse governance, data quality, and pseudonymization. Focus on designing distributed data architectures, integrating generative AI into data platforms, and improving DataOps practices.

Location: Hanoi, Vietnam

Company

hirify.global Vietnam provides technical support and expert services for hirify.global Group projects in testing, inspection, and certification across construction and infrastructure sectors.

What you will do

  • Develop end-to-end data pipelines covering ingestion, transformation, modeling, and data exposure.
  • Contribute to visualizations in Power BI and Databricks SQL.
  • Improve the hirify.global Lakehouse through stronger governance, data quality, and data pseudonymization.
  • Experiment with generative AI solutions such as Databricks GenIE to convert text queries into actionable insights.
  • Collaborate in an agile environment with colleagues across the global group.

Requirements

  • Bachelor’s degree in Big Data, Computer Science, or Software Engineering, with at least 3 years of Data Engineering experience.
  • Strong SQL and NoSQL database skills, including modeling, query optimization, integrity, and performance.
  • Understanding of Big Data architecture and distributed processing tools such as Spark, Hadoop, Airflow, Kafka, and Delta Lake.
  • Experience with Git, GitLab, Jupyter Notebooks, and VS Code.
  • Knowledge of ETL/ELT, Data Lakehouse, DataOps, CI/CD, monitoring, and data quality.
  • Good communication skills in English or French are required.

Nice to have

  • Prior experience with Databricks.
  • Knowledge of AWS cloud services.
  • Interest in generative AI and its integration into data platforms.

Culture & Benefits

  • Flexible working hours and a 42-hour work week with an early finish every Friday.
  • 15 working-from-home days per year.
  • Annual leave that increases with length of service and seniority.
  • Team-building activities, sport clubs, and internal technical, language, and soft-skills training.
  • Opportunities for self-development and career advancement.
  • Work in an entrepreneurial environment focused on collaboration, social responsibility, and sustainability.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →