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EI

Azure Data Engineer

eTeam Inc.
πŸ‡ΊπŸ‡Έ United States
Hybrid
Senior
3 weeks ago
$65 – $71 / hour
  • Azure Cloud
  • Python
  • PySpark
  • Azure Data Factory
  • Azure
  • Fabric
  • API Gateway
  • Azure Functions
  • Azure Databricks
  • SQL
  • NoSQL
  • FastAPI
  • Devops
  • Git
  • Jenkins
  • CI/CD
  • ETL
  • ELT
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Job Title: Azure Data Engineer
Duration: 12 months Contract
Location: Charlotte, NC 28202
Hybrid Role
Job Experience Level: Senior (10 Years)

Role Objectives:

  • These roles will be part of theData Strategy team supporting Capital Markets and Securities teams and related broker-dealer and swap-dealer entities.
  • Actively participate in the development of the data platform in close coordination with internal technology and data teams.
  • Contribute to the establishment of areference data system for securities and pricing data, with plans to expand into additional data domains.
  • Follow internal development standards and contribute to the overall objectives of the Data Strategy team.
  • Implement the strategic data platform on the organization'sAzure Cloud Platform using the required solutions and technologies outlined below.
  • Collaborate with cross-functional teams to design, develop, and implement scalable data solutions.

Qualifications and Skills:

  • 10 years of relevant experience in software/data engineering.
  • Strong experience as aFull Stack Python/PySpark Developer.
  • Proven experience as aData Engineer with hands-on experience inAzure Cloud.
  • Experience implementing solutions using:
    • Azure Cloud Services
    • Azure Data Factory
    • Azure Data Lake Gen2
    • Azure Databases
    • Azure Data Fabric
    • API Gateway Management
    • Azure Functions
    • Azure Databricks
  • Strong hands-on experience withAzure Databricks.
  • StrongSQL skills with RDBMS or NoSQL databases.
  • Experience developingAPIs using FastAPI or similar Python frameworks.
  • Familiarity with theDevOps lifecycle, including Git, Jenkins, and related tools.
  • Experience withCI/CD processes.
  • Good understanding ofETL/ELT processes.
  • Strong understanding of data engineering and software development practices.
  • Ability to develop scalable and reliable data solutions using Python and PySpark.

Preferred Industry Experience:

  • Experience in thefinancial services industry is a plus.
  • Knowledge offinancial instruments is a plus.
  • Experience with differentasset classes is a plus.
  • Experience working withmarket data is a plus.

Azure Data Engineer Β· eTeam Inc.

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