Senior Cloud Data Engineer

1 month ago


Remote, Czech Republic Hirely Sp. z o.o. Full time

Key Responsibilities:

  • Design and implement data pipelines using PySpark and SQL.
  • Manage infrastructure in AWS, including S3, Docker, and Kubernetes.
  • Work with Databricks, Unity Catalog, Workflows, jobs, and data visualization in notebooks.
  • Implement CI/CD solutions using CircleCI.

Requirements:

  • 5+ years of experience as a Data Engineer.
  • Proficient in Databricks, Python, PySpark, SQL, ETL, AWS, AWS S3, Docker, Azure, and Infrastructure as Code.
  • Knowledge of Kafka, RDBMS, and Machine Learning.

Additional Benefits:

  • Private healthcare.
  • Multi-sport benefits.
  • Dedicated mentorship.

We are seeking an experienced Senior Cloud Data Engineer to join our project for a client based in the United Kingdom. The ideal candidate will have a strong command of English and experience working with large data volumes.

Team Information:

  • The project is carried out for a client from the UK, and the team consists of 3 Data Engineers and a technical leader.
  • Work with technology stack: Kafka, Postgres, Medallion Architecture, PySpark, SQL, Kedro, Airbyte.


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