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5 дней назад

Data Engineer (Databricks)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Romania
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
Data Engineer (Databricks): Building and maintaining scalable Databricks data pipelines and data warehouse solutions for airline operational intelligence with an accent on cloud platforms, ETL/ELT orchestration, data quality, and governance. Focus on designing analytics-ready data models, optimizing Airflow workflows, and ensuring secure, scalable, and cost-efficient data delivery.

Location: Bucharest, Romania

Company

hirify.global is a technology-driven company headquartered in Dublin that helps airlines modernize their operating models using cloud, data, and AI.

What you will do

  • Design, build, and maintain scalable Databricks pipelines that ingest, transform, and deliver data to Data Lake and Data Warehouse environments.
  • Develop and optimize ETL/ELT workflows and Airflow orchestration for reliable, automated data delivery.
  • Manage cloud data platforms across AWS, Azure, and GCP, focusing on performance, scalability, security, and cost efficiency.
  • Implement data quality, governance, lineage, and monitoring frameworks using tools such as Atlan and Monte Carlo.
  • Partner with business stakeholders, BI teams, and engineering teams to design data models and analytics-ready datasets for reporting and decision-making.

Requirements

  • At least 5 years of experience in Data Engineering or a related field, including a minimum of 3 years of hands-on Databricks experience in a production environment.
  • Strong expertise in cloud platforms such as AWS, Azure, or GCP, Data Lake technologies, and Data Warehousing.
  • Experience with data ETL tools and BI solutions such as Airflow and PowerBI.
  • Experience with data quality and governance tools such as Atlan and Monte Carlo.
  • Solid knowledge of data modelling concepts.
  • Excellent communication and collaboration skills, with a problem-solving and analytical mindset.
  • Ability to work autonomously and as part of a team.

Nice to have

  • Master's degree in Computer Science, Data Science, or a related field.
  • Experience designing, developing, and implementing complex data pipelines and data warehouse solutions in an enterprise environment.
  • Experience with Scaled Agile planning and execution.

Culture & Benefits

  • Flexible working environment.
  • Career advancement and learning and development opportunities.
  • Competitive salary based on experience.
  • Inclusive workplace committed to diversity, equity, and inclusion.

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