Senior Azure Data Engineer - Capital Markets Platform

Zohorecruit

Charlotte (NC)

Hybrid

USD 140,000 - 190,000

Full time

14 days+
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Job summary

Axiom Path is seeking a senior Azure Data Engineer to help build and scale a cloud-based data platform for capital markets in a long-term hybrid role based in Charlotte, NC. You will work on data pipelines, APIs, and enterprise-grade data solutions using Azure services.

The role involves cross-border collaboration with teams in Charlotte, Jersey City, and India, and requires extensive Python and PySpark development, SQL expertise, and strong DevOps practices in a W2 environment.

Qualifications

  • Advanced hands-on development with Python and PySpark required.
  • Proven enterprise data solutions design using Microsoft Azure.
  • Experience with Azure Data Factory, Data Lake Gen2, Databricks, databases, and Functions.
  • Familiarity with API management, Git, CI/CD, and DevOps practices.
  • Financial services exposure in capital markets is a plus.

Responsibilities

  • Design, develop, and enhance a strategic enterprise data platform for capital markets.
  • Build scalable data pipelines and processing solutions on Azure stack.
  • Develop Python APIs using FastAPI or similar frameworks for data accessibility.
  • Integrate Azure databases, API management, and Functions into end-to-end data solutions.
  • Collaborate across distributed teams in Charlotte, Jersey City, and India.

Skills

Python
PySpark
Azure Data Factory
Azure Data Lake Storage Gen2
Azure Databricks
Azure databases
Azure Functions
Microsoft Fabric
SQL
ETL/ELT
API gateway
API management
Git
Jenkins
CI/CD
DevOps

Job description

Axiom Path is seeking a senior Azure Data Engineer to help build and scale a cloud-based data platform for capital markets in a long-term hybrid role based in Charlotte, NC. You will work on data pipelines, APIs, and enterprise-grade data solutions using Azure services.

The role involves cross-border collaboration with teams in Charlotte, Jersey City, and India, and requires extensive Python and PySpark development, SQL expertise, and strong DevOps practices in a W2 environment.

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