Azure Data Engineering

AI overview

Design and develop Azure data pipelines for life sciences clients, leveraging Azure Data Factory and Data Lake while ensuring efficient data management and CI/CD implementation.
  • Experience in setting up data pipelines in Azure.
  • Experience with Azure Data Factory
  • Experience with setting up Azure Data Lake with structured/unstructured data.
  • Candidate needs to be a self-starter and should be able to design, develop and deliver solution without much assistance or supervision.
  • Strong knowledge of Azure services - Storage (AFS, Blob, Data Lake), Azure Functions.
  • Strong knowledge of database - Should be able to write complex queries, schema design.
  • Ability to set up CI/CD pipelines in Azure through GitHub.
  • Bachelor’s or master’s degree in computer science, Information Technology
  • Experience with batch job scheduling and identifying data/job dependencies.
  • Preferred Skills:

  • Proficiency in data warehousing, ETL, and big data processing.
  • Familiarity with the Pharma domain is a plus.

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