Cloud Data Solutions Engineer

4 dni temu


Warszawa, Mazovia, Polska ETFbook Pełny etat

About ETFbook:

We are a cutting-edge technology department developing and maintaining a robust data platform on Azure, utilizing advanced technologies such as Azure Databricks to support our core business functions. Our primary goal is to build and maintain secure, scalable data pipelines and define the data model that delivers trusted datasets to internal and external stakeholders.

As a Cloud Data Solutions Engineer, you will be responsible for designing, building, and maintaining a scalable data platform using Python, .NET, and Azure Services. You'll work on building robust ETL/ELT pipelines using technologies available natively on Azure, such as Data Factory and Databricks.

  • Main Responsibilities:
  • Design and implement a scalable data platform architecture
  • Develop and optimize APIs, data services, and integrations
  • Ensure system reliability, security, and performance
  • Collaborate with engineers and analysts to enable seamless data flows
  • Implement monitoring and observability solutions using Azure Monitor and Application Insights

Requirements:

  • 5+ years of experience in software development and data engineering
  • Bachelor's degree in computer science, Information Technology, or related field
  • Strong proficiency in Python, .NET, and Azure services
  • Experience with Azure Data Analytics tools, such as Azure Data Lake and Synapse
  • Proficiency in building scalable and secure APIs (REST, gRPC)
  • Hands-on experience with CI/CD pipelines using Azure DevOps and GitHub Actions
  • Strong problem-solving and communication skills

What We Offer:

  • 100% remote work within the European time zone
  • Exciting growth opportunities in a fast-paced startup
  • Competitive B2B contract
  • Collaborative and innovative work culture


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