Senior Data Engineer

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SeniorFull-time·B2B
#391360·Dodano miesiąc temu·1
Źródło: Experis
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Tech Stack / Keywords

AzureDatabricksAIAzure Data FactoryAzure SQLCloudPythonPySpark

Firma i stanowisko

Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT.

Wymagania

  • Minimum 5 years of experience in Data Engineering.
  • Strong hands-on experience with Databricks, Azure Data Factory, Azure SQL Database, Azure Key Vault, Azure Synapse Analytics, and Informatica Intelligent Cloud Services (IICS).
  • Advanced skills in Python, PySpark, and SQL.
  • Experience with Azure DevOps and CI/CD pipelines.
  • Knowledge of data modeling, API integrations, and enterprise data architecture.
  • Experience working in Agile/Scrum environments.
  • Strong analytical and problem-solving skills.
  • Fluent English.

Obowiązki

  • Design, develop, and maintain end-to-end data pipelines.
  • Build data integration and transformation solutions using Azure technologies and Databricks.
  • Create and maintain analytical datasets and data marts.
  • Support reporting, analytics, and AI initiatives.
  • Manage CI/CD processes and Azure DevOps environments.
  • Collaborate closely with business stakeholders and cross-functional teams.

Benefity

  • Private healthcare (Medicover)
  • Multisport card
  • Group life insurance
  • Access to e-learning platforms
  • International project environment
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Experis

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