Python Developer

Must Have: Python, NumPy, Pandas, HTML, CSS, JavaScript
Nice to have: Data sets, Unix/Linux
Description:
Develop automation in Python to identify characteristics, relationships, and trends on large user populations
Develop automation in Python to filter users into groups based on the above criteria
Use Python to make API calls to supported databases and tools Excellent communication and collaboration skills
Strong analytical and problem-solving abilities
Ability work independently and as part of a team.
Experience with Agile development, Continuous
Integration, and Continuous Delivery
Required Skills/Experience:
1 Between 8 to 10 years of software development experience in Python and its data science libraries (NumPy, Pandas, Scikit-learn, etc.). Experience with front-end technologies such as HTML, CSS, JavaScript
2 Strong understanding of LDAP, SQL and relational databases
3 Good understanding of:
Web technologies (HTTP, Apache) and familiarity with Unix/Linux
Data structures, algorithms and design patterns
Knowledge of authentication and authorization processes and tools
Preferred Skills/ Experience:
1 Experience in financial industry preferred but not a must
2 Experience working with and aggregating large data sets across multiple systems
3 Agile experience preferred but not a must
The ideal candidate will have: Minimum 08 – 10 years of experience.
Supplier Notes:
Will be building out reporting functions, automation
Develop automation in Python to identify characteristics, relationships, and trends on large user populations
Develop automation in Python to filter users into groups based on the above criteria
Use Python to make API calls to supported databases and tools
Must have UI experience as well (Javascript/Angular/HTML/CSS)
IAM experience is a big plus, will go to top of pile
Should understand some SQL/Relational Database
Looking for 10+ years Development experience – 5+ in Python