Databricks Data Engineer (Python)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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