Why This Role Stands Out
Advance your career in a hybrid role where you'll develop scalable Python applications and gain valuable Azure Databricks experience, perfect for mid-senior developers with a strong background in Python web frameworks and SQL. This is an excellent opportunity to expand your skillset within a reputable global company. Apply now to explore this exciting path!
Quick Overview
Job Description
Hello,
I hope you are doing well.
We are seeking a Python Full Stack Developer with Azure Databricks in Charlotte, NC - Hybrid (Relocation candidates are also welcome).
Role: Python Full Stack Developer with Azure Databricks
Location: Charlotte, NC - Hybrid (Relocation candidates are also welcome)
Duration: 6 months+
H1B Transfer candidates are also welcome.
Requirements:
Develop highly scalable applications in Core Python.
Hands-on experience 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 the Azure environment and various interconnected Azure components (Functions, App Service, Containers etc.).
Knowledge on Financial domain and mainly Risk management is highly desirable
Qualifications:
7+ 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
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