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3 дня назад

Senior Big Data Engineer (Databricks + Azure)

Формат работы
remote (только Poland)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Poland
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

Senior Big Data Engineer (Databricks/Azure): Designing and implementing scalable batch and streaming ETL pipelines on the Databricks Lakehouse platform with an accent on data governance, performance tuning, and Lakehouse architecture. Focus on building bronze-silver-gold data layers, optimizing PySpark jobs, and integrating AI/BI capabilities for reliable data delivery.

Location: Must be based in Poland (Remote/Office)

Company

hirify.global is a global IT services and consulting company providing high-end engineering and technology solutions.

What you will do

  • Design, develop, and maintain scalable batch and streaming ETL pipelines on the Databricks Lakehouse platform.
  • Build and optimize data processing solutions using PySpark, Python, and SQL.
  • Implement data governance and access control practices using Unity Catalog.
  • Design and maintain bronze–silver–gold Lakehouse architectures using Delta Lake.
  • Develop and deploy data solutions using Databricks Asset Bundles and CI/CD processes.
  • Expose and visualize data using Databricks SQL and BI tools such as Power BI.

Requirements

  • 5+ years of experience in Data Engineering, including designing data models and scalable ETL pipelines.
  • Strong expertise in PySpark, Python, and SQL, including performance tuning and optimization.
  • Hands-on experience with Databricks clusters, SQL Warehouses, and Unity Catalog.
  • Strong understanding of Delta Lake and Lakehouse architecture concepts.
  • Experience delivering end-to-end data solutions using Databricks Asset Bundles and CI/CD practices.
  • English: Upper-intermediate (B2) or higher required.

Nice to have

  • Familiarity with Databricks AI/BI tools such as MLflow, Dashboards, Metric Views, Genie, or agents.
  • Experience with Azure data services: ADF, Synapse, ADLS, Azure DevOps, or Microsoft Fabric.

Culture & Benefits

  • Flexible work arrangement (Remote/Office).
  • Equal opportunity employer environment.
  • Opportunity to work with cutting-edge Databricks AI/BI capabilities.

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