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UMATR

data engineer data platform transformation

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Description

Описание

The company is a European technology company undergoing a major data platform transformation. Its data platform is being built and modernised with Databricks at the centre of the architecture.

Задачи

  • Design and build scalable data pipelines within Databricks
  • Develop production-grade workloads using PySpark, Python and SQL
  • Work extensively with Delta Lake and Lakehouse architecture
  • Support the migration of existing workloads into Databricks
  • Optimise Spark workloads and improve pipeline performance
  • Build reliable ETL/ELT processes across large datasets
  • Work with Data Scientists, Analytics Engineers and Cloud Engineers
  • Implement data quality, testing and monitoring
  • Contribute to the wider architecture and technical direction of the platform

Требования

  • 5+ Years of experience in Data Engineering
  • Strong hands-on Databricks experience
  • Excellent PySpark, Python and SQL skills
  • Strong understanding of Delta Lake and Lakehouse architecture
  • Experience building and optimising production data pipelines
  • Experience working with Azure, AWS or GCP
  • Experience working within large-scale data environments
  • Ability to operate independently and hit the ground running

Условия

Initial 6-month freelance contract.

Skills

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See also

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