W2 role | Python Full Stack Developer with Azure Databricks Exposure

Charlotte, NC, US • Posted 12 hours ago • Updated 12 hours ago
Contract W2
6 Months
No Travel Required
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Data Analysis
  • Microsoft SQL Server
  • PySpark
  • Python
  • SQL
  • Microsoft Azure
  • JavaScript
  • Azure Databricks
  • React

Summary

Hello,
I hope you are doing well.

Urgent requirement for Sr. Python Full Stack Developer with Azure Databricks Exposure with our Direct Client in Charlotte, NC (Relocation candidates are also welcome).

Job Experience Level: 8+ Years – Mid-Level

Description:

Python Full Stack Developer with Azure Databricks Exposure
-----------------------------------------------------------------------------------------
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
10+ 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

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: 9020354
  • Posted 12 hours ago
Contact the job poster
DR

Doni Raj

Recruiter @ Global Digital Resources LLC
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