Python Full Stack Developer with Azure Databricks

Charlotte, NC, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
6 Months
No Travel Required
On-site
$55 - $60/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Lake
  • Microsoft Azure
  • Azure Data Factory
  • Azure Databricks
  • PySpark
  • Python

Summary

Hello,
I hope you are doing good.

We are seeking a Python Full Stack Developer with Azure Databricks in Charlotte, NC (Relocation candidates are also welcome). July 10th onsite interview is mandatory.

Role:  Python Full Stack Developer with Azure Databricks
Location: Charlotte, NC (Relocation candidates are also welcome). July 10th onsite interview is mandatory
Duration: 6 months+

Job Experience Level: 8+ Years – Mid-Level

Note: Need 8+ Years and only independent candidates (W2).

Requirements
Develop highly scalable applications in Core Python.
Hands-on with Python web frameworks such as Django, Flask, or FastAPI.
Experience working on SQL with ability to run various data analytics tasks and queries.
Exposure to Java script technologies (preferably React)
Exposure to Azure Databricks environment (PySpark, notebooks, integrate repos, job workflows, delta lake, unity catalog etc)
Exposure to azure environment and various interconnected azure components (Functions, App Service, Containers etc.).
Knowledge on Financial domain and mainly Risk management is highly desirable

Qualifications
8+ years of prior experience as a developer in the required technologies

CORE TECHNOLOGIES
Scripting: Python, PySpark, SQL, Bash.
Web frameworks: Django, Flask, or FastAPI.
Azure: Azure Databricks, Azure Synapse Analytics, Azure Functions, Azure Data Lake Storage Gen2, Azure Event Grid, Azure Event Hubs, Azure Service Bus, Azure Key Vault, Azure Monitor, Azure Log Analytics, Azure API Management (APIM), Azure DevOps.
Databases: SQL Server, Oracle, PostgreSQL, Delta Lake
Big Data: Apache Spark
Version Control: GitHub, Git, Azure DevOps
Visualization: Power BI & Integration with REST APIs for custom dashboards.
Data Integration & Workflow Orchestration: Azure Data Factory, Databricks Workflows.

Thanks & Regards
Doni Bhagya Raj
Sr. Technical Recruiter
linkedin.com/in/bhagya-raj-doni-7a8945193
Vama Solutions

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91174495
  • Position Id: 9011535
  • Posted 1 hour ago
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DR

Doni Raj

Recruiter @ Global Digital Resources LLC
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