Senior Python & PySpark Data Platform Lead

Luxoft

Wrocław

Híbrido

PLN 180.000 - 260.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Luxoft in Wrocław, Poland seeks a senior Python developer to lead the build of a new data and application platform for an investment-banking client. You will design back-end services with Python, PySpark, and Databricks, while shaping architecture, CI/CD, and testing practices in a fast-paced enterprise setting.

You will mentor the team, drive best practices, and collaborate with QA and product managers to deliver high-quality, scalable solutions.

Formación

  • 8+ years of professional software development experience.
  • Strong Python development skills.
  • Hands-on PySpark and distributed data processing.
  • Experience designing and maintaining ETL pipelines.
  • Experience with Databricks.
  • Automated testing of data pipelines and applications.
  • Knowledge of CI/CD pipelines and Azure DevOps.
  • Ability to translate business requirements into technical solutions.
  • Excellent problem-solving and communication skills.

Responsabilidades

  • Design, develop, and maintain scalable back-end services and APIs.
  • Build and optimize data pipelines and workloads on Databricks.
  • Design and maintain CI/CD pipelines and release processes in Azure DevOps.
  • Mentor developers and perform code reviews.
  • Define and consume RESTful APIs across teams.
  • Participate in agile ceremonies and collaborate with QA and product teams.
  • Write and maintain automated tests.
  • Support and improve existing applications in investment-banking context.

Conocimientos

Python
PySpark
Databricks
ETL pipelines
CI/CD
REST APIs
Automated tests
Clean code
Agile practices
Communication

Herramientas

Azure DevOps
SQL
Unix/Linux
Shell scripting

Descripción del empleo

Luxoft in Wrocław, Poland seeks a senior Python developer to lead the build of a new data and application platform for an investment-banking client. You will design back-end services with Python, PySpark, and Databricks, while shaping architecture, CI/CD, and testing practices in a fast-paced enterprise setting.

You will mentor the team, drive best practices, and collaborate with QA and product managers to deliver high-quality, scalable solutions.

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