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3 часа назад

Databricks Data Engineer (Python)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Hungary
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Databricks Data Engineer (Python): Designing and implementing large-scale data processing solutions with an accent on Databricks pipelines and cloud-native integration. Focus on optimizing complex datasets, ensuring system scalability, and maintaining high performance across AWS, Azure, or GCP environments.

Location: Must be based in Budapest, Hungary (Hybrid role)

Company

hirify.global is an AI-powered global business and technology transformation partner, delivering tangible business value through strategy, technology, and engineering.

What you will do

  • Design and implement robust data processing solutions using Databricks for diverse, large-scale datasets.
  • Build and enhance scalable data pipelines using Python and cloud-native frameworks.
  • Collaborate with solution architects to establish and maintain data engineering best practices.
  • Ensure the security, consistency, and scalability of cloud-based data environments.
  • Work across the full Software Development Life Cycle to deliver efficient data architectures.

Requirements

  • Minimum 1 year of hands-on experience with Databricks.
  • Strong proficiency in Python for data transformation and automation.
  • Experience working with at least one major cloud platform (AWS, Azure, or GCP).
  • Strong communication and English language skills (B2 minimum).

Nice to have

  • Solid understanding of SQL, query optimization, and data modeling.
  • Familiarity with DevOps, CI/CD, and Infrastructure as Code tools like Terraform.
  • Experience with real-time streaming technologies such as Kafka or Spark Streaming.
  • Hands-on experience with PySpark for distributed data processing.
  • Relevant certifications in Databricks or cloud data engineering.

Culture & Benefits

  • Access to a vast education library with over 250,000 learning resources and certifications.
  • Commitment to work-life balance through a global Well-Being Hub.
  • Flexible work arrangements including hybrid work models and flexible hours.
  • Additional financial benefits including an employee referral bonus and company shares program.

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