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Data Engineer

Experis

 

Charlotte, NC, USA

Posted On: Just posted
Experience: 10+ years
Availability: Onsite
Openings: 1
Category: Data Engineer
Tenure: No Preference/Any
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Description

What’s the Job?

  • Design and develop a strategic Azure-based data platform supporting multiple data domains.
  • Build data pipelines and solutions using Python, PySpark, Azure Databricks, and Azure Data Factory.
  • Develop the initial securities reference data and pricing data platform and expand into additional data domains.
  • Develop and integrate APIs using Python/FastAPI and Azure services.
  • Collaborate with Data Strategy, Capital Markets, and technology teams while following established development standards.

What’s Needed?

  • 10+ years of Data Engineering/software development experience with strong Python and PySpark skills.
  • Hands-on experience with Azure, Azure Data Factory, ADLS Gen2, Azure Databricks, Azure databases, and Microsoft Fabric.
  • Strong SQL, ETL/ELT, data pipeline, and data platform development experience.
  • Experience developing APIs using FastAPI or similar Python frameworks, along with Azure Functions/API Gateway.
  • Experience with Git, Jenkins, CI/CD, DevOps, and preferably financial services, securities, market data, or financial instruments

Education

Any Graduate

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