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Data Engineer (Python)

Data Engineer (Python)
TES The Employment Solution
7 months 4 weeks ago

RESPONSABILITIES

  • Use of Databricks for transformation and loading of the data in the different layers

  • Use of Spark/Python for the development of the libraries

  • Use of Azure DevOps pipelines to automate the CI/CD

  • Participate in the development of the dataset and incorporate new sources from the data lake

  • Develop best practices on the data quality validation

REQUIREMENTS

Professional Experience

  • 4 years in the development in spark/python

  • 4 years on databricks

  • 2 years on Azure DevOps

  • 1 year PowerShell Experience on Azure data lake

  • Experience on data factory

Soft Skills

  • Strong interpersonal, teamwork, coordination, and consensus-building skills

  • Strong communication, documentation, storytelling, creativity, and presentation skills

  • Strong organizational skills, the ability to perform under pressure, and to manage multiple priorities with competing demands

Language

Bilingual (French & English) with excellent verbal and written communication skills

Expertise level

Work arrangement

Key skills

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