data engineeringazureetlawsgcpdata warehousingairflowdatabricksdata governancedata modelling
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятный фокус на senior data engineering, востребованный стек Databricks и облачных платформ, а также заявлены возможности обучения; уровень оплаты не раскрыт.
Современный стек
Понятные задачи
Возможности развития
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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