AI-Powered Data Engineer, Azure Lakehouse & Databricks

Mobile Tech People

France métropolitaine

In loco

EUR 65.000 - 90.000

Tempo pieno

14 giorni+

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Jobtailor seeks a data engineering expert to design and evolve data processing on an Azure Lakehouse architecture. You will collect, integrate, structure, and model data to support analytics and AI use cases.

You will optimize processing performance, ensure data quality, and promote AI-assisted development practices such as code generation, refactoring, testing, and documentation while providing technical expertise in international transformation projects.

Competenze

  • At least five years of experience in Data Engineering, BI, or Cloud Data Engineering.
  • Significant experience with Cloud and Lakehouse architectures.
  • Strong command of Databricks, including Delta Lake and Lakehouse performance optimization.
  • Expertise in data modeling, including analytical schemas, slowly changing dimensions (SCD), and data structuring.
  • Familiarity with AI-assisted development tools.

Mansioni

  • Design and evolve data processing on an Azure Lakehouse architecture.
  • Collect, integrate, structure, and model data.
  • Optimize processing performance and ensure data quality.
  • Prepare datasets for analytics and AI use cases.
  • Promote AI-assisted development practices including code generation, refactoring, testing, and documentation.
  • Provide technical expertise to support data projects in an international transformation context.

Conoscenze

Data engineering
Cloud architecture
Data modeling
AI tools

Strumenti

Databricks
Delta Lake

Descrizione del lavoro

Jobtailor seeks a data engineering expert to design and evolve data processing on an Azure Lakehouse architecture. You will collect, integrate, structure, and model data to support analytics and AI use cases.

You will optimize processing performance, ensure data quality, and promote AI-assisted development practices such as code generation, refactoring, testing, and documentation while providing technical expertise in international transformation projects.

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