Data Engineer- Python / Azure

IDPP Consulting Limited

Ansprechpartner: Satnum Sidhu
frankfurt,  Deutschland
100% RemoteArbeitnehmerüberlassungab sofortDauer 6 Monate100% Auslastung57,00 € Budget

Beschreibung

Data Engineer- Python / Azure

We are building a future-proof data foundation that enables critical business applications, reporting capabilities, and digital customer services, unlocking greater value from operational data.

Description

  • Design, develop, and maintain components of an Azure-based data platform using Python, CosmosDB and DeltaTables.
  • Build and integrate containerized workloads running on Azure Container Apps.
  • Take ownership of technical topics independently, from solution design through implementation, testing, and deployment.
  • Develop well-tested code following established software engineering and Python best practices.
  • Implement appropriate error handling, logging, monitoring, and operational safeguards for production workloads.
  • Collaborate with other developers, data engineers, and stakeholders to deliver reliable end-to-end solutions.
  • Review existing implementations and proactively identify opportunities for improvement, simplification, and increased maintainability.
  • Consult the preparation and stabilization of the platform for production go-live, covering (automated) deployment to separate environments.
  • Contribute to CI/CD pipelines and automated deployment processes.
  • Where applicable, contribute to Infrastructure as Code (IaC) and the automation of Azure infrastructure provisioning and configuration.

Requirements:
  • Python
  • Microsoft Azure
  • CI/CD (Continuous Integration / Continuous Deployment)
  • 5+ years Python development experience with the ability to work independently and make sound technical decisions based on software engineering best practices
  • Strong hands-on experience with Python-based time series data processing
  • Experience developing and operating containerized applications on Azure
  • Experience working with CI/CD pipelines and automated deployment processes
  • Proven ability to write production-ready, well-tested, and maintainable code
  • Ability to independently analyze problems, develop solution approaches, and implement them end-to-end
  • Experience working in environments preparing data platforms for production go-live
  • Experience with Azure-based cloud environments and modern DevOps practices

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