Python Full Stack Developer

Posted 19 Days Ago
Chicago, IL
Expert/Leader
Artificial Intelligence • Cloud • Database • Analytics
The Role
We are seeking a Python Full Stack Developer with a strong background in Investment and Asset Management. The role involves extensive communication with business stakeholders, team leadership, and management of offshore development teams. Technical expertise in Python, Azure, Microservices, and front-end technologies like React and/or Angular is required.
Summary Generated by Built In

Hello 
Hope You are doing well!
We are looking for a Python Full Stack Developer( with Investment-Asset/Wealth Management)
Below is the JD for the reference
Python Full Stack Developer( with Investment-Asset/Wealth Management)
Location: Chicago, IL (Hybrid 3 Days A week)
Duration: 12 months
Exp: Min 10 years
Mandatory non-technical Skills:

  • Comm skills -Should be good. This requires extensive interaction with Business (please do not present profiles without good comms skills)
  • Investment Management - Experience in Asset/Wealth Management
  • Team Lead experience including managing offshore development team

Technical Skills:

  • Python
  • Azure
  • Data Design
  • Microservices
  • React and/or Angular

Top Skills

Python
The Company
Cupertino, California
9 Employees
Hybrid Workplace
Year Founded: 2022

What We Do

Driving Innovation through Advanced Data and AI Services.

We offer next-level data and AI services to help you transform your data into actionable insights for a competitive edge.

To augment your teams, we offer full-time/contract resources & consulting, design and development services for turnkey projects in the following areas:

01 DATA MODERNIZATION
Define Cloud strategy, architecture & roadmap
Identify current landscape & catalog data sources
Data warehouse design & setup
Develop data governance & data quality framework
Implement data management technologies
Build data analytics capabilities
Inculcate data driven culture
A future-ready framework to serve all business use cases

02 DATA INTEGRATION & CLOUD MIGRATION
Design & develop
Optimized data models and data pipelines
ETL/ELT workloads & monitoring
Processes that scale up and down without performance problems
Automate data migration between upstream/downstream (on-prem) systems and Cloud

03 DATA ANALYTICS & AI
Data analytics consulting – use-case exploration and building analytics roadmap
Data preparation and creating a single version of truth
Dashboard & report development
AI/ML model selection and development
AI/ML model tuning and validation
AI/ML model scaling, integration and deployment

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