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Epsilon LATAM.

Azure Data Engineer

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Description

  • 3 to 10 years of hands-on experience in design, support, development and delivery of data management, modeling, and analytics solutions. This includes hands-on experience with data integration, ETL processes, and data modeling.
  • 2+ years of Azure Data Lake and SQL Data Warehouse experience.
  • 2+ years of Azure Data Factory and DevOps.
  • Proficiency in SQL or Python, or other programming languages used for data processing.
  • Ability to rapidly develop outcomes via specifications and requirements to build proof of concepts.
  • Profiling various information systems, capture source/target mappings and transformations based on project requirements.
  • Ability to rapidly define requirements and build proof of concepts.
Preferred Skills
  • 2+ years of SAP Datasphere / BDC.
  • 1+ years utilizing AI to expedite data engineering tasks.

Skills

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See also

Data Engineering jobs by country — openings, pay and top skills →