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Azure Data Platform Engineer - 19038

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HeltidIngångsnivåPå platsSverige
Veritaz ABSverige

Om det här jobbet

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are looking for an experienced Azure Data Engineer

What You Will Work On

  • Build scalable data pipelines using Azure Data Factory
  • Develop data solutions with Azure Databricks
  • Work with Azure Blob Storage
  • Transform large datasets using Python and PySpark
  • Process structured and unstructured service contract data
  • Develop both batch and streaming data pipelines
  • Work with event-driven architectures such as Azure Service Bus / Kafka
  • Design and optimize data models in Databricks
  • Work with Delta Lake, partitioning and performance tuning
  • Build and maintain CI/CD pipelines using Azure DevOps
  • Ensure data quality, monitoring and production reliability
  • Develop API and system integrations
  • Connect AI models with enterprise systems
  • Troubleshoot and optimize production data pipelines

What You Bring

  • 5+ years of experience in data engineering
  • Strong hands-on experience with Microsoft Azure
  • Strong experience with Azure Data Factory
  • Strong experience with Azure Databricks
  • Advanced Python and PySpark skills
  • Experience with Azure Blob Storage
  • Experience with batch and streaming data processing
  • Understanding of event-driven architectures
  • Experience with Service Bus, Kafka or similar technologies
  • Strong knowledge of data modelling and optimization
  • Experience with Delta Lake, partitioning and performance tuning
  • Experience building CI/CD pipelines with Azure DevOps
  • Strong focus on data quality, monitoring and production reliability
  • Experience with API and system integration
  • Ability to integrate AI models with systems


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