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Python Full-Stack Developer

Crisil — United Kingdom · Posted ~4 hours ago

Senior

Skills

Python SQL Django Flask FastAPI JavaScript React Bash data analytics Azure PySpark Azure Databricks Azure Synapse Analytics Azure Functions Azure Data Lake Storage Gen2 Azure Event Grid Azure Event Hubs

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Summary ✨ AI‑Generated

A senior Python Full-Stack Developer is sought to build highly scalable applications using core Python and modern web frameworks such as Django, Flask, or FastAPI. You will work with SQL and data analytics, contribute to JavaScript-based frontend development, and operate across cloud and data platforms. Experience with distributed data processing and financial risk management is advantageous.

Highlights

Senior full-stack opportunity focused on scalable Python applications, combining backend engineering, modern web development, SQL analytics, and extensive Azure cloud and data technologies.

Description

Python Full Stack Developer 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 is desirable (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 desirableQualifications 8+ years of prior experience as a developer in the required technologies CORE TECHNOLOGIES Scripting: Python, SQL, Bash, PySparkWeb frameworks: Django, Flask, or FastAPI.Frontend Technologies: ReactJS, Java ScriptAzure: 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 LakeBig Data: Apache SparkVersion Control: GitHub, Git, Azure DevOpsVisualization: Power BI & Integration with REST APIs for custom dashboards.Data Integration & Workflow Orchestration: Azure Data Factory, Databricks Workflows